Range-Ambiguous Clutter Suppression via FDA MIMO Planar Array Radar with Compressed Sensing
<p>Geometry of FDA-MIMO planar array radar. (<b>a</b>) Schematic diagram of FDA-MIMO planar array radar clutter geometric distribution; (<b>b</b>) schematic diagram of the planar array geometric distribution.</p> "> Figure 2
<p>Schematic diagram of main lobe movement in equivalent transmission pattern.</p> "> Figure 3
<p>Schematic diagram of main lobe moving correction of emission pattern.</p> "> Figure 4
<p>Receiving signal processing block diagram.</p> "> Figure 5
<p>Schematic diagram of range-ambiguous clutter pulse echoes.</p> "> Figure 6
<p>D domain clutter power spectrum diagram. (<b>a</b>) MIMO; (<b>b</b>) FDA; (<b>c</b>) MLC FDA.</p> "> Figure 7
<p>Simulation diagram. (<b>a</b>) Multiple range gate clutter ridge distribution; (<b>b</b>) desired range gate clutter ridge distribution.</p> "> Figure 8
<p>Compressed sensing MLC FDA radar signal processing flow chart.</p> "> Figure 9
<p>Simulation diagram of FDA main lobe moving between pulses. (<b>a</b>) Conventional non-full angle FDA; (<b>b</b>) after MLC non-full angle FDA; (<b>c</b>) coherent pulse number <span class="html-italic">K</span> = 5 MLC FDA.</p> "> Figure 9 Cont.
<p>Simulation diagram of FDA main lobe moving between pulses. (<b>a</b>) Conventional non-full angle FDA; (<b>b</b>) after MLC non-full angle FDA; (<b>c</b>) coherent pulse number <span class="html-italic">K</span> = 5 MLC FDA.</p> "> Figure 10
<p>dB ambiguous clutter power spectrum. (<b>a</b>) MIMO; (<b>b</b>) FDA; (<b>c</b>) MLC FDA.</p> "> Figure 10 Cont.
<p>dB ambiguous clutter power spectrum. (<b>a</b>) MIMO; (<b>b</b>) FDA; (<b>c</b>) MLC FDA.</p> "> Figure 11
<p>dB range ambiguous clutter power spectrum. (<b>a</b>) MIMO; (<b>b</b>) FDA; (<b>c</b>) MLC FDA.</p> "> Figure 12
<p>Ambiguous clutter power spectrum. (<b>a</b>) MIMO; (<b>b</b>) FDA; (<b>c</b>) MLC FDA.</p> "> Figure 12 Cont.
<p>Ambiguous clutter power spectrum. (<b>a</b>) MIMO; (<b>b</b>) FDA; (<b>c</b>) MLC FDA.</p> "> Figure 13
<p>IF curves.</p> "> Figure 14
<p>Ambiguous clutter power spectrum. (<b>a</b>) Proposed method; (<b>b</b>) ideal power spectrum; (<b>c</b>) MIMO; (<b>d</b>) FDA.</p> "> Figure 15
<p>IF curves.</p> ">
Abstract
:1. Introduction
- (1)
- In view of the range dependence of the forward-looking array radar clutter, this paper uses compressed sensing technology to divide the dictionary grid and construct a sparse dictionary according to the characteristics of the forward-looking radar clutter steering vector in the spatial Doppler two-dimensional power spectrum structure. Combined with the FDA technology to resist the range ambiguous clutter, this paper overcomes the problem that the conventional forward-looking array multiple range ambiguous clutters lack sparsity. The clutter is transformed into a sparsely recoverable target. A small number of echo snapshots are received near the detection range gate through compressed sensing to reconstruct the clutter covariance matrix, which is not approximately affected by the range dependence. It solves the contradiction that the conventional STAP requires both training samples to meet the IID condition and the selection of enough samples. Especially when the forward-looking clutter range dependence of training samples is serious, this method improves the performance of radar clutter spreading and clutter suppression and the moving target detection ability of forward-looking array radar.
- (2)
- Aiming to address the issue of main lobe moving in the transmitting pattern of FDA MIMO pulse radar, the main lobe rectification method of equivalent transmitting pattern is proposed. During the same coherent processing interval, the initial phase of an FDA radar pulse is compensated and restored at the transmitting and receiving ends, respectively. Although the coherent processing pulse irradiates different angle areas, they are all able to contain the desired target angle, so that the coherent processing pulses can irradiate the same target, improving the signal-to-noise ratio and completing the coherent accumulation. On the basis of this, the subsequent signal processing of pulse framework FDA radar is carried out.
- (3)
- Addressing the clutter ambiguous issue of airborne forward-looking array radar, clutters from different ranges have different power spectrum distributed characteristics because of the phase term of range coupling by combining FDA radar and the elevation dimension freedom of planar array. Different from the conventional ambiguous clutter, this method makes the target signal and clutter of the desired region maintain high gain, while the range-ambiguous clutter of the undesired region has a wide area low gain distribution, which is suppressed. Combined with clutter range dependent compensation technology, radar target parameter searching is realized.
2. MLC-FDA Signal Model
2.1. Transmitting of MLC-FDA Radar
2.2. Receiving of MLC-FDA Radar
3. MLC-FDA Range-Ambiguous Clutter Suppression Method Based on Compressed Sensing
4. Simulation Results
4.1. MLC FDA Radar Main Lobe Correction Emission Pattern
4.2. Three-Dimensional Distribution Structure of Received Clutter Signal Power Spectrum
4.3. Power Spectrum Clutter Suppression Effect and Analysis
5. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
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Parameter | Values |
---|---|
Horizontal array element number M | 8 |
Vertical array element number N | 9 |
Inter-element spacing | 0.1 m |
Reference carrier frequency f0 | 1.5 GHz |
Frequency increment | 5000 Hz |
CNR (Clutter noise ratio) | 30 dB |
Radar flight height | 6 km |
Radar system speed | 300 m/s |
Maximum unambiguous range | 75 km |
Coherent pulse number K | 9 |
Pulse repetition frequency | 10,000 Hz |
Offset coefficient x | 3 |
Target angle | 0° |
Target range | 9 km |
Horizontal receiving space dispersion coefficient Ns | 90 |
Doppler dispersion coefficient Nd | 90 |
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Wang, Y.; Zhu, S.; Lan, L.; Li, X.; Liu, Z.; Wu, Z. Range-Ambiguous Clutter Suppression via FDA MIMO Planar Array Radar with Compressed Sensing. Remote Sens. 2022, 14, 1926. https://doi.org/10.3390/rs14081926
Wang Y, Zhu S, Lan L, Li X, Liu Z, Wu Z. Range-Ambiguous Clutter Suppression via FDA MIMO Planar Array Radar with Compressed Sensing. Remote Sensing. 2022; 14(8):1926. https://doi.org/10.3390/rs14081926
Chicago/Turabian StyleWang, Yuzhuo, Shengqi Zhu, Lan Lan, Ximin Li, Zhixin Liu, and Zhixia Wu. 2022. "Range-Ambiguous Clutter Suppression via FDA MIMO Planar Array Radar with Compressed Sensing" Remote Sensing 14, no. 8: 1926. https://doi.org/10.3390/rs14081926