CN105319449B - Antenna damnification method based on unmanned plane - Google Patents

Abstract

A UAV-based antenna near-field measurement method, by collecting the spatial coordinate information of the UAV with a beacon and the signal information from the beacon received by the antenna to be tested, thereby establishing the receiving pose and signal of the antenna to be tested The correlation between the spatial positions of the sources enables near-field measurements. The invention is aimed at near-field measurement, has the advantages of simple operation and high cost performance, is especially suitable for the measurement of large antennas, and has the advantages of wide adaptability and high test accuracy.

Description

Antenna near-field measurement method based on UAV

technical field

The invention relates to a technology in the field of radio holography, in particular to an antenna near-field measurement method based on an unmanned aerial vehicle.

Background technique

Antenna near-field measurement is an important part of radio holography. On the one hand, through the near-field measurement, the near-far field transformation can be used to obtain the far-field observation performance of the antenna. On the other hand, the diagnosis of the deformation of the antenna aperture surface can be realized through the transformation between the near-field aperture fields.

At present, the common method of antenna near-field measurement is to place a beacon at a certain distance from the antenna to be tested, and scan the beacon by adjusting the pitch and azimuth of the antenna to be tested, so as to realize the near-field measurement of the antenna. However, because this method is limited by the fixed position of the beacon, it cannot measure the near-field data of the antenna at various elevations, especially for large radio telescopes, the deformation of the main reflector at different elevations will be quite different due to gravity deformation , so it is necessary to develop a new near-field measurement technique to adapt to the near-field measurement of antennas under different pitches.

Contents of the invention

Aiming at the above-mentioned deficiencies in the prior art, the present invention proposes an antenna near-field measurement method based on a drone. For near-field measurement, it has the advantages of simple operation and high cost performance, especially suitable for the measurement of large antennas, and has wide adaptability. The advantages of high test accuracy.

The present invention is achieved through the following technical solutions:

The present invention collects the spatial coordinate information of the UAV with the beacon and the signal information from the beacon received by the antenna to be tested, so as to establish the association between the receiving pose of the antenna to be tested and the spatial position of the signal source, and realize the near field Measurement.

The present invention specifically comprises the following steps:

Step 1: The antenna to be tested is fixed at a certain azimuth and pitch attitude, and the UAV is used to carry the beacon and positioning equipment to control the UAV to fly around the antenna and point to the vicinity, and the UAV is determined by the beacon data obtained by the antenna to be tested. It is located at the moment when the antenna is pointing, and the space coordinates at this time are determined by the trajectory tracking device, which is used as the scanning center of the UAV.

Step 2: Based on the scanning center coordinates determined by multiple measurements in step 1, calculate the spatial scanning coordinate trajectory around the center point, and control the UAV to fly around the orbit multiple times.

Step 3: Use trajectory optimization algorithm to achieve high-precision orbital flight, realize real-time correction of UAV flight trajectory and flight attitude through trajectory tracking equipment and attitude detection equipment, and realize unmanned aerial vehicle detection by combining near-field data obtained by the antenna to be tested. The antenna trajectory and near-field data are modified multiple times to realize the near-field measurement of the antenna.

technical effect

Compared with the prior art, the present invention utilizes the UAV to carry the beacon, and under different pitches of the antenna to be tested, by controlling the UAV to fly around the antenna to be tested for orbit determination, the relative scanning of the beacon by the antenna to be tested is realized .

The invention controls the accuracy of the flight trajectory of the drone through the trajectory optimization algorithm of the drone, and uses the tracking and positioning equipment of the drone to realize real-time correction and accurate acquisition of the trajectory coordinates of the drone.

The present invention realizes multiple flight scans by using the UAV under the same pitch, and realizes multiple corrections of scanning trajectory coordinates and corresponding near-field data through feature extraction and interpolation algorithms.

The invention has the following advantages: the UAV is equipped with a beacon, which can adapt to the near-field measurement of most antennas under different pitches; compared with the construction of the beacon tower, the UAV has the advantages of high cost performance and wide adaptability ;Using UAV to scan the trajectory can reduce the error caused by the antenna movement caused by the antenna manufacturing error; Utilize the UAV trajectory optimization algorithm, UAV positioning equipment and repeated trajectory scanning to achieve Multiple corrections to drone positioning and test data. The invention has the advantages of convenient testing, wide application range and high cost performance.

Description of drawings

Figure 1 is a schematic diagram of the embodiment.

Detailed ways

As shown in Figure 1, this embodiment includes the following steps:

Step 1: The antenna to be tested is fixed under the detection azimuth and pitch attitude, and the UAV is used to carry the beacon and positioning equipment to control the UAV to fly around the antenna to be tested in the near field area of the antenna. The signal obtained by the antenna to be tested is The marking data determines the moment when the drone is pointed to by the antenna, and the spatial coordinates of the drone at the corresponding moment are determined by the laser rangefinder trajectory tracking device, and the spatial coordinates are used as the scanning center of the drone.

The antenna to be tested adopts but is not limited to a parabolic antenna.

Said beacons use but are not limited to wireless signal transmitters.

The flight mentioned specifically means that the distance between the UAV and the antenna to be tested is within the near-field range.

Step 2: Repeat step 1 to determine the scanning center and optimize the spatial scanning trajectory of the UAV around the scanning center.

Step 3: Use the trajectory optimization algorithm to control the UAV to achieve precise orbital flight, realize the real-time correction of the UAV flight trajectory and flight attitude through the laser locator and gyroscope, and realize the near-field data obtained by the antenna to be tested. Multiple corrections are made to the man-machine trajectory and near-field data to realize the near-field measurement of the antenna.

The trajectory optimization algorithm adopts but is not limited to the particle swarm optimization algorithm.

The real-time correction specifically refers to: the adjustment of the UAV flight trajectory and flight attitude

The trimming specifically refers to: because the measurement data are discrete points, interpolation and optimization processing will be performed during data processing to reduce measurement errors, and this adjustment should be combined with UAV trajectory and near-field measurement data. data, so it is called multiple correction.

The above specific implementation can be partially adjusted in different ways by those skilled in the art without departing from the principle and purpose of the present invention. The scope of protection of the present invention is subject to the claims and is not limited by the above specific implementation. Each implementation within the scope is bound by the invention.

Claims (6)

1. An antenna near-field measurement method based on unmanned aerial vehicle, it is characterized in that, by collecting the spatial coordinate information of the unmanned aerial vehicle with beacon and the signal information from beacon received by antenna to be tested, thereby set up antenna to be tested The correlation between the received pose and the spatial position of the signal source realizes near-field measurement. 2. The method according to claim 1, characterized in that, specifically comprising the following steps: Step 1: The antenna to be tested is fixed at a certain azimuth and pitch attitude, and the UAV is used to carry the beacon and positioning equipment to control the UAV to fly around the antenna and point to the vicinity, and the UAV is determined by the beacon data obtained by the antenna to be tested. At the moment when the antenna is pointing, and determine the spatial coordinates at this time through the trajectory tracking device, as the scanning center of the UAV; Step 2: Based on the scanning center coordinates determined by multiple measurements in step 1, calculate the spatial scanning coordinate trajectory around the center point, and control the UAV to fly around the orbit multiple times; Step 3: Use trajectory optimization algorithm to achieve high-precision orbital flight, realize real-time correction of UAV flight trajectory and flight attitude through trajectory tracking equipment and attitude detection equipment, and realize unmanned aerial vehicle detection by combining near-field data obtained by the antenna to be tested. Multiple corrections are made to the aircraft trajectory and near-field data to realize the near-field measurement of the antenna. 3. The method according to claim 1 or 2, wherein the antenna to be tested is a parabolic antenna. 4. The method according to claim 1 or 2, wherein the beacon is a wireless signal transmitter. 5. The method according to claim 2, characterized in that, said trajectory optimization algorithm adopts particle swarm optimization algorithm. 6. The method according to claim 2, wherein said real-time correction specifically refers to the adjustment of the flight trajectory and flight attitude of the drone.