CN102257778B - Channel quality estimation method, device and wireless receiver - Google Patents

Abstract

The invention discloses a channel quality estimation method, device and wireless receiver, which relate to the technical field of wireless communication and solve the problem of inaccurate channel quality estimation due to inaccurate effective signal-to-interference-noise ratio calculated in existing channel quality estimation methods. exact question. In the embodiment of the present invention, since the sum of the channel matrix and the estimation error of the channel matrix is used when calculating the equalization matrix, the sum is the channel estimation matrix, so that the accuracy of the effective SINR calculated by using the equalization matrix is higher, thereby improving the accuracy of channel quality estimation. The embodiments of the present invention are mainly applied to a scenario where a single data stream is sent and multiple receiving antennas are used in a wireless communication system.

Description

Channel quality estimation method, device and wireless receiver

technical field

The invention relates to the technical field of wireless communication, in particular to a channel quality estimation method, device and wireless receiver.

Background technique

In a wireless MIMO (Multiple-Input Multiple-Output, multiple-input multiple-output) communication system, it is often necessary to estimate the effective Signal to Interference plus Noise Ratio (SINR) of the wireless environment in order to understand the channel quality and Use this information to improve system capacity, for example: the signal receiving end estimates the effective SINR by estimating CQI (Channel Quality Indication, channel quality indication) and PMI (Precoding Matrix Index, precoding matrix index), and then feeds back the CQI and PMI To the signal sending end, to instruct the signal sending end to select a modulation and coding mode suitable for the transmission characteristics of the current channel and to perform beamforming at the signal sending end, so as to improve the system capacity.

Effective SINR refers to the signal-to-noise ratio after equalization in a wireless MIMO communication system, and this parameter can reflect receiver performance. For the scenario where the transmitting end of the wireless MIMO system uses a single data stream to send data, and the receiving end performs Interference Rejection Combining on the received signals of multiple antennas, the existing effective SINR calculation methods include: according to the selected system The estimation criterion, the ideal channel matrix and the interference correlation matrix are calculated to obtain an equalization matrix; the equalized signal is calculated according to the pre-equalization signal received from the receiving antenna and the equalization matrix; the effective SINR is calculated according to the equalized signal.

In the above process of calculating the effective SINR, the inventors found at least the following problems in the prior art: the ideal channel matrix is used when calculating the equalization matrix, but this matrix is unknown in the actual operation of the communication system and must be obtained by estimation ( That is, the channel estimation matrix), because the estimated channel matrix cannot be completely consistent with the ideal channel matrix, resulting in inaccurate signals after equalization calculated by using the equalization matrix, so that accurate effective SINR cannot be obtained, which in turn affects the channel quality estimation. Accuracy, resulting in the receiving end can not use the effective SINR to improve the system capacity, on the contrary may reduce the system capacity.

Contents of the invention

Embodiments of the present invention provide a channel quality estimation method, device and wireless receiver, which can obtain accurate effective SINR and further improve the accuracy of channel quality estimation.

In order to achieve the above object, embodiments of the present invention adopt the following technical solutions:

A channel quality estimation method, comprising: channel matrix and the channel matrix The estimation error of Adding to get the equalization matrix G; according to the signal before equalization received from the receiving antenna And the equalization matrix G calculates an effective SINR for estimating channel quality.

A channel quality estimating device, comprising: a calculation module, for channel matrix and the channel matrix The estimation error of Adding up to get the equalization matrix G; the quality evaluation module is used to receive the equalization signal from the receiving antenna according to And the equalization matrix G calculates an effective SINR for estimating channel quality.

The embodiment of the present invention also provides a wireless receiver including the channel quality estimation device.

In the channel quality estimation method, device and wireless receiver provided by the embodiments of the present invention, when calculating the equalization matrix, the channel estimation matrix is obtained from the sum of the channel matrix and the estimation error of the channel matrix, since the error factor of the channel matrix is fully considered The influence on channel quality estimation makes the effective SINR calculated by using the equalization matrix more accurate, thereby improving the accuracy of channel quality estimation.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only These are some embodiments of the present invention. For those skilled in the art, other drawings can also be obtained according to these drawings without any creative effort.

FIG. 1 is a flowchart of a channel quality estimation method according to Embodiment 1 of the present invention;

FIG. 2 is a block diagram of a channel quality estimation device according to Embodiment 1 of the present invention;

Fig. 3 is a block diagram of a channel quality estimation device according to Embodiment 3 of the present invention.

Detailed ways

The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

Example 1

This embodiment provides a method for estimating channel quality, which can be applied to a wireless receiver. As shown in FIG. 1 , the method includes the following steps.

101. The channel matrix and the channel matrix The estimation error of Adding to get the equalization matrix G.

Specifically, when calculating the equalization matrix, the channel matrix and the channel matrix The estimation error of The sum of , which introduces the estimation error of the channel matrix The estimation error and channel matrix The sum accurately describes the estimated value of the channel matrix, so that the calculated equalization matrix G has a better equalization effect on the signal received from the receiving antenna.

102. According to the signal before equalization received from the receiving antenna And the equalization matrix G calculates an effective SINR for estimating channel quality.

Specifically, use the equalization matrix G calculated in step 101 to compare the pre-equalization signal received from the receiving antenna After performing the equalization calculation, an equalized signal can be obtained. Then, an effective signal-to-interference-noise ratio can be obtained by calculating according to the equalized signal.

In this embodiment, since the sum of the channel matrix and the estimation error of the channel matrix is used when calculating the equalization matrix, the sum is the channel estimation matrix, so that the effective SINR obtained by using the equalization matrix calculation is more accurate, thereby improving the accuracy of channel quality estimation.

This embodiment also provides a channel quality estimation device, as shown in Figure 2, the device includes: a calculation module 21, used to calculate the channel matrix and the channel matrix The estimation error of Adding to obtain the equalization matrix G; the quality evaluation module 22 is used to obtain the equalization matrix G according to the received antenna And the equalization matrix G calculates an effective SINR for estimating channel quality, so as to estimate channel quality. The calculation module 21 and the quality evaluation module 22 can be implemented by hardware, for example, they can be processors respectively.

The method performed by each module in the above channel quality estimation device has been described in detail in the above channel quality estimation method, and will not be repeated here.

In the channel quality estimation device provided in this embodiment, since the calculation module is used to calculate the equalization matrix, the sum of the channel matrix and the estimation error of the channel matrix is used, and the sum is the channel estimation matrix, so that the equalization matrix is used to calculate The obtained effective SINR is more accurate, thereby improving the accuracy of channel quality estimation.

Example 2

This embodiment provides a method for estimating channel quality, which is applied in a scenario where a single data stream is sent and multiple receiving antennas are used, and the method includes the following steps.

Step 1. According to the channel matrix and its estimation error The sum is calculated to obtain the balance matrix G.

Among them, the balance matrix G can be calculated according to the formula Calculated, a is a constant greater than 0, which varies according to the system estimation criteria adopted, is the interference correlation matrix.

Equilibrium matrix calculation formula of the prior art In contrast, this embodiment introduces an estimation error of the channel matrix during the calculation of the equalization matrix G The estimate was wrong The sum of the channel matrix and the channel matrix accurately describes the estimated value of the channel matrix, so that the calculated equalization matrix has a better equalization effect on the signal received from the receiving antenna.

When it is assumed that the estimation of the channel matrix is a linear estimation, and the estimated coefficients are normalized, and assuming that the constant a=1 in the calculation formula of the equalization matrix, the estimation error of the channel matrix The calculation formula can be Among them, W is the estimated coefficient matrix of the channel matrix, and the dimension is N _R × N. Part of the signal received from the receiving antenna can be selected as the resource to be estimated, and a short period of time resource or frequency resource near the resource is selected as Observations, in this part of the observations, it can be assumed that the channel matrix is constant, and at the same time, it is assumed that the interference between the observations is not correlated, and the statistical characteristics of each interference signal are the same. N _R is the number of receiving antennas, N is the dimension of observation, is the N-dimensional interference vector corresponding to the observed quantity.

The elements {W} _ij in the estimated coefficient matrix W of the channel matrix are estimated coefficients of the channel matrix corresponding to different receiving antennas. Assuming that the estimated coefficients of the channel matrices corresponding to different receiving antennas are the same, that is, {W} _ij ={W} _mj , i≠m, then the element {W} _ij can be w _j , j=1, 2,...,N express.

but Among them, u′ _i,j is the interference corresponding to the i-th receiving antenna and the j-th observation. Since the interference between observations is not correlated within the dimension of observations, there are:

$\mathrm{<span\; class="notranslate">\; E.</span>}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; W</span>}{\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; u</span>}}}^{<span\; class="notranslate">\; \&prime;</span>}{<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; W</span>}{\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; u</span>}}}^{<span\; class="notranslate">\; \&prime;</span>}<span\; class="notranslate">\; )</span>}^{\mathrm{<span\; class="notranslate">\; h</span>}}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span><span\; class="notranslate">\; (</span>\underset{\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 0</span>}}{\overset{\mathrm{<span\; class="notranslate">\; N</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}}}{{\mathrm{<span\; class="notranslate">\; w</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}}^{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; )</span>{\mathrm{<span\; class="notranslate">\; R</span>}}_{\mathrm{<span\; class="notranslate">\; u\; u</span>}}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; \&beta;</span>}{\mathrm{<span\; class="notranslate">\; R</span>}}_{\mathrm{<span\; class="notranslate">\; u\; u</span>}}<span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; )</span>$

In the above formula (1), The superscript H denotes the conjugate transpose of the matrix.

From the above derivation, the calculation formula of the balance matrix G can be obtained

Step 2. According to the signal before equalization received from the receiving antenna And the equalization matrix G calculates an effective signal-to-interference-noise ratio to estimate channel quality.

Specifically, through the way of the prior art, firstly through the formula to calculate the equalized signal in is the signal before equalization. The system model of the wireless MIMO communication system is: in is the channel matrix, in this embodiment is an N _R ×1-dimensional channel matrix. s is the signal sent by the transmitting antenna, Is the interference vector of the channel, where, corresponding to the observed amount, the N-dimensional interference vector Interference vector with channel The relationship between can be expressed as: Since s is a single data stream, its value is constant. by applying the previously obtained substitute The equalized signal can be obtained calculation formula. Those skilled in the art can complete the equalized signal according to the calculation method of the prior art The solution of , that is, the signal after equalization Solve the ratio of the useful signal power to the interference signal power in . However, for the sake of easy understanding, the derivation process of the solution is briefly explained below.

$\stackrel{<span\; class="notranslate">\; ^</span>}{\mathrm{<span\; class="notranslate">\; the\; s</span>}}<span\; class="notranslate">\; =</span>{<span\; class="notranslate">\; (</span>\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}<span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; W</span>}{\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; u</span>}}}^{<span\; class="notranslate">\; \&prime;</span>}<span\; class="notranslate">\; )</span>}^{\mathrm{<span\; class="notranslate">\; h</span>}}{\mathrm{<span\; class="notranslate">\; R</span>}}_{\mathrm{<span\; class="notranslate">\; u\; u</span>}}^{<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; (</span>\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}\mathrm{<span\; class="notranslate">\; the\; s</span>}<span\; class="notranslate">\; +</span>\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; u</span>}}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>{\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}}^{\mathrm{<span\; class="notranslate">\; h</span>}}{\mathrm{<span\; class="notranslate">\; R</span>}}_{\mathrm{<span\; class="notranslate">\; u\; u</span>}}^{<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}\mathrm{<span\; class="notranslate">\; the\; s</span>}<span\; class="notranslate">\; +</span>{<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; W</span>}{\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; u</span>}}}^{<span\; class="notranslate">\; \&prime;</span>}<span\; class="notranslate">\; )</span>}^{\mathrm{<span\; class="notranslate">\; h</span>}}{\mathrm{<span\; class="notranslate">\; R</span>}}_{\mathrm{<span\; class="notranslate">\; u\; u</span>}}^{<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}\mathrm{<span\; class="notranslate">\; the\; s</span>}<span\; class="notranslate">\; +</span>{\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}}^{\mathrm{<span\; class="notranslate">\; h</span>}}{\mathrm{<span\; class="notranslate">\; R</span>}}_{\mathrm{<span\; class="notranslate">\; u\; u</span>}}^{<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; u</span>}}<span\; class="notranslate">\; +</span>{<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; W</span>}{\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; u</span>}}}^{<span\; class="notranslate">\; \&prime;</span>}<span\; class="notranslate">\; )</span>}^{\mathrm{<span\; class="notranslate">\; h</span>}}{\mathrm{<span\; class="notranslate">\; R</span>}}_{\mathrm{<span\; class="notranslate">\; u\; u</span>}}^{<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; u</span>}}<span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 2</span>}<span\; class="notranslate">\; )</span>$

It is easy to see that only the first item in formula (2) can be considered as a useful signal, and the others are polluted by interference and become interference items. The power values of the interference items are set as I ₁ , I ₂ , I ₃ .

The calculation formula of signal power P is:

$\mathrm{<span\; class="notranslate">\; P</span>}<span\; class="notranslate">\; =</span>{\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}}^{\mathrm{<span\; class="notranslate">\; h</span>}}{\mathrm{<span\; class="notranslate">\; R</span>}}_{\mathrm{<span\; class="notranslate">\; u\; u</span>}}^{<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}\mathrm{<span\; class="notranslate">\; ss</span>}<span\; class="notranslate">\; *</span>{\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}}^{\mathrm{<span\; class="notranslate">\; h</span>}}{\mathrm{<span\; class="notranslate">\; R</span>}}_{\mathrm{<span\; class="notranslate">\; u\; u</span>}}^{<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}<span\; class="notranslate">\; =</span>{<span\; class="notranslate">\; (</span>{\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}}^{\mathrm{<span\; class="notranslate">\; h</span>}}{\mathrm{<span\; class="notranslate">\; R</span>}}_{\mathrm{<span\; class="notranslate">\; u\; u</span>}}^{<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}<span\; class="notranslate">\; )</span>}^{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 3</span>}<span\; class="notranslate">\; )</span>$

The calculation formulas of interference power I ₁ , I ₂ , and I ₃ are as follows:

${\mathrm{<span\; class="notranslate">\; I</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; E.</span>}<span\; class="notranslate">\; (</span>{<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; W</span>}{\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; u</span>}}}^{<span\; class="notranslate">\; \&prime;</span>}<span\; class="notranslate">\; )</span>}^{\mathrm{<span\; class="notranslate">\; h</span>}}{\mathrm{<span\; class="notranslate">\; R</span>}}_{\mathrm{<span\; class="notranslate">\; u\; u</span>}}^{<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}\mathrm{<span\; class="notranslate">\; ss</span>}<span\; class="notranslate">\; *</span>{\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}}^{\mathrm{<span\; class="notranslate">\; h</span>}}{\mathrm{<span\; class="notranslate">\; R</span>}}_{\mathrm{<span\; class="notranslate">\; u\; u</span>}}^{<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; W</span>}{\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; u</span>}}}^{<span\; class="notranslate">\; \&prime;</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; trace</span>}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; E.</span>}<span\; class="notranslate">\; (</span>{\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}}^{\mathrm{<span\; class="notranslate">\; h</span>}}{\mathrm{<span\; class="notranslate">\; R</span>}}_{\mathrm{<span\; class="notranslate">\; u\; u</span>}}^{<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; W</span>}{\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; u</span>}}}^{<span\; class="notranslate">\; \&prime;</span>}<span\; class="notranslate">\; )</span>{<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; W</span>}{\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; u</span>}}}^{<span\; class="notranslate">\; \&prime;</span>}<span\; class="notranslate">\; )</span>}^{\mathrm{<span\; class="notranslate">\; h</span>}}{\mathrm{<span\; class="notranslate">\; R</span>}}_{\mathrm{<span\; class="notranslate">\; u\; u</span>}}^{<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; \&beta;</span>}{\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}}^{\mathrm{<span\; class="notranslate">\; h</span>}}{\mathrm{<span\; class="notranslate">\; R</span>}}_{\mathrm{<span\; class="notranslate">\; u\; u</span>}}^{<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}<span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 4</span>}<span\; class="notranslate">\; )</span>$

${\mathrm{<span\; class="notranslate">\; I</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; E.</span>}<span\; class="notranslate">\; (</span>{\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}}^{\mathrm{<span\; class="notranslate">\; h</span>}}{\mathrm{<span\; class="notranslate">\; R</span>}}_{\mathrm{<span\; class="notranslate">\; u\; u</span>}}^{<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; u</span>}}{\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; u</span>}}}^{\mathrm{<span\; class="notranslate">\; h</span>}}{\mathrm{<span\; class="notranslate">\; R</span>}}_{\mathrm{<span\; class="notranslate">\; u\; u</span>}}^{<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>{\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}}^{\mathrm{<span\; class="notranslate">\; h</span>}}{\mathrm{<span\; class="notranslate">\; R</span>}}_{\mathrm{<span\; class="notranslate">\; u\; u</span>}}^{<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}<span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 5</span>}<span\; class="notranslate">\; )</span>$

${\mathrm{<span\; class="notranslate">\; I</span>}}_{\mathrm{<span\; class="notranslate">\; 3</span>}}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; E.</span>}<span\; class="notranslate">\; (</span><span\; class="notranslate">\; (</span>{<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; W</span>}{\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; u</span>}}}^{<span\; class="notranslate">\; \&prime;</span>}<span\; class="notranslate">\; )</span>}^{\mathrm{<span\; class="notranslate">\; h</span>}}{\mathrm{<span\; class="notranslate">\; R</span>}}_{\mathrm{<span\; class="notranslate">\; u\; u</span>}}^{<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; u</span>}}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; (</span>{<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; W</span>}{\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; u</span>}}}^{<span\; class="notranslate">\; \&prime;</span>}<span\; class="notranslate">\; )</span>}^{\mathrm{<span\; class="notranslate">\; h</span>}}{{\mathrm{<span\; class="notranslate">\; R</span>}}_{\mathrm{<span\; class="notranslate">\; u\; u</span>}}^{<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; u</span>}}<span\; class="notranslate">\; )</span>}^{\mathrm{<span\; class="notranslate">\; h</span>}}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; E.</span>}<span\; class="notranslate">\; (</span>{<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; W</span>}{\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; u</span>}}}^{<span\; class="notranslate">\; \&prime;</span>}<span\; class="notranslate">\; )</span>}^{\mathrm{<span\; class="notranslate">\; h</span>}}{\mathrm{<span\; class="notranslate">\; R</span>}}_{\mathrm{<span\; class="notranslate">\; u\; u</span>}}^{<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; u</span>}}{\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; u</span>}}}^{\mathrm{<span\; class="notranslate">\; h</span>}}{\mathrm{<span\; class="notranslate">\; R</span>}}_{\mathrm{<span\; class="notranslate">\; u\; u</span>}}^{<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; W</span>}{\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; u</span>}}}^{<span\; class="notranslate">\; \&prime;</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; E.</span>}<span\; class="notranslate">\; (</span>{<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; W</span>}{\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; u</span>}}}^{<span\; class="notranslate">\; \&prime;</span>}<span\; class="notranslate">\; )</span>}^{\mathrm{<span\; class="notranslate">\; h</span>}}{\mathrm{<span\; class="notranslate">\; R</span>}}_{\mathrm{<span\; class="notranslate">\; u\; u</span>}}^{<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; W</span>}{\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; u</span>}}}^{<span\; class="notranslate">\; \&prime;</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; )</span>$

,right Perform Cholesky decomposition, And put the formula (1) into the above formula, then the above formula can be rewritten as: $I_3=\mathrm{E.}\left({\left(\mathrm{LW}{\stackrel{\&Right\; Arrow;}{u}}^{\&prime;}\right)}^h\left(\mathrm{LW}{\stackrel{\&Right\; Arrow;}{u}}^{\&prime;}\right)\right)=\mathrm{trace}\left(\left(\mathrm{LW}{\stackrel{\&Right\; Arrow;}{u}}^{\&prime;}\right){\left(\mathrm{LW}{\stackrel{\&Right\; Arrow;}{u}}^{\&prime;}\right)}^h\right)=\mathrm{trace}\left(\mathrm{\&beta;}{\mathrm{LR}}_{\mathrm{u\; u}}{L}^h\right)$

$<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; trace</span>}<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; \&beta;LL</span>}}^{<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; L</span>}}^{\mathrm{<span\; class="notranslate">\; h</span>}}<span\; class="notranslate">\; )</span>}^{<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\mathrm{<span\; class="notranslate">\; L</span>}}^{\mathrm{<span\; class="notranslate">\; h</span>}}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; \&beta;</span>}{\mathrm{<span\; class="notranslate">\; N</span>}}_{\mathrm{<span\; class="notranslate">\; R</span>}}<span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 6</span>}<span\; class="notranslate">\; )</span>$

In the above formula (6), trace() is a matrix trace operation.

Then according to the calculation formula of effective SINR and formulas (3)~(6), the SINR of the communication system can be obtained, namely

The effective SINR result calculated by this embodiment and the effective SINR result calculated by the prior art Compared with the introduction of the β term related to the estimation error, the calculated effective SINR is more accurate, so that the quality of the channel can be accurately estimated.

Example 3

This embodiment provides a channel quality estimation device, which can be located in a wireless receiver. As shown in FIG. 3, the device includes: a calculation module 31, which can be a processor, for and the channel matrix The estimation error of Adding to obtain the equalization matrix G; the quality evaluation module 32, which can be another processor, is used to And the equalization matrix G calculates an effective SINR for estimating channel quality.

The calculation module 31 may include a first calculation unit 311, which may be a processor unit, and is used to calculate according to the formula Calculating and obtaining the equalization matrix G, wherein a is a constant greater than 0, which varies according to the adopted system estimation criteria; is the interference correlation matrix.

The calculation module may also include a second calculation unit 312, which may be another processor unit, for passing the formula Calculate the estimated error and will calculate the Send to the first calculation unit 311; wherein, W is the estimated coefficient matrix of the channel matrix, N _R ×N dimensions, where N _R is the number of receiving antennas, and N is the dimension of the observation; is the N-dimensional interference vector corresponding to the observed quantity.

The quality assessment module 32 may include: a third computing unit 321, which may be a processor unit, configured to And the equalization matrix G calculates the equalized signal The fourth computing unit 322 may also be a processor unit, configured to Calculate the effective SINR.

The methods executed by the above modules have been described in detail in Embodiment 2, and will not be repeated here. The various methods and devices described in this embodiment are generally applied to MIMO wireless receivers to estimate an effective signal-to-interference-noise ratio (SINR).

In this embodiment, since the sum of the channel matrix and the estimation error of the channel matrix is used when the calculation module is used to calculate the equalization matrix, the sum is the channel estimation matrix, so that the effective SINR accuracy obtained by using the equalization matrix calculation is higher, thereby improving the accuracy of channel quality estimation.

Through the description of the above embodiments, those skilled in the art can clearly understand that the present invention can be implemented by means of software plus necessary general-purpose hardware, and of course also by hardware, but in many cases the former is a better embodiment . Based on this understanding, the essence of the technical solution of the present invention or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product is stored in a readable storage medium, such as a floppy disk of a computer , a hard disk or an optical disk, etc., including several instructions for enabling a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in various embodiments of the present invention.

The embodiments of the present invention are mainly applied to a scenario where a single data stream is sent and multiple receiving antennas are used in a wireless communication system.

The above is only a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Anyone skilled in the art can easily think of changes or substitutions within the technical scope disclosed in the present invention. All should be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention should be determined by the protection scope of the claims.

Claims (4)

1. A channel quality estimation method, characterized in that, comprising: channel matrix and the channel matrix The estimation error of Adding to get the equalization matrix G; According to the pre-equalization signal received from the receiving antenna and the equalization matrix G calculates an effective signal-to-interference-noise ratio for estimating channel quality; The equalization matrix G according to the formula Calculated, where a is a constant greater than 0, is the interference correlation matrix; The estimation error by the formula Calculated to obtain, among them, W is an estimated coefficient matrix of _NR ×N dimensions of the channel matrix, wherein _NR is the number of receiving antennas, and N is the dimension of observations; is an N-dimensional interference vector corresponding to the observed quantity; According to the signal before equalization received from the receiving antenna And the calculation of the equalization matrix G for estimating the effective SINR of channel quality includes: Based on the following formula, according to the signal before equalization received from the receiving antenna And the equalization matrix G calculates the equalized signal $\stackrel{<span\; class="notranslate">\; ^</span>}{\mathrm{<span\; class="notranslate">\; the\; s</span>}}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; G</span>}\stackrel{<span\; class="notranslate">\; \&Right\; Arrow;</span>}{\mathrm{<span\; class="notranslate">\; r</span>}}<span\; class="notranslate">\; ;</span>$ According to the equalized signal Calculate the effective SINR. 2. The method according to claim 1, wherein the equalized signal include: useful signal first distractor Second Interfering Term third disturbance term Among them, s is the signal sent by the transmitting antenna, is the interference vector of the channel. 3. A channel quality estimation device, characterized in that, comprising: Calculation module for channel matrix and the channel matrix The estimation error of Adding to get the equalization matrix G; Quality assessment module for the pre-equalization signal received from the receiving antenna and the equalization matrix G calculates an effective signal-to-interference-noise ratio for estimating channel quality; The calculation module includes a first calculation unit, which is used to calculate according to the formula Calculate and obtain the equalization matrix G, wherein a is a constant greater than 0, is the interference correlation matrix; The calculation module also includes a second calculation unit, which is used to pass the formula Calculate the estimated error and will calculate the sent to the first computing unit; wherein, W is an estimated coefficient matrix of _NR ×N dimensions of the channel matrix, wherein _NR is the number of receiving antennas, and N is the dimension of observations; is an N-dimensional interference vector corresponding to the observed quantity; The quality assessment modules include: A third calculation unit, configured to receive the pre-equalized signal from the receiving antenna according to the And the equalization matrix G calculates the equalized signal A fourth computing unit, configured to Calculate the effective SINR. 4. A wireless receiver, characterized in that it comprises the device as claimed in claim 3.