Research on target detection performance of PA-MIMO radar based on channel reciprocity
On the issue of how to effectively utilize radar resources to improve the accuracy and reliability of target detection,proposed a hybrid distributed phased array-multiple input and multiple output(PA-MIMO)radar system model and established a target detection model based on the Neyman-Pearson(NP)criterion.The likelihood ratio(LRT)detector was derived under the condition of channel reciprocity caused by sub-array transceiver sharing and multi-pulse coherent accumulation,and the target detection probability under a given false alarm probability was obtained.On this basis,by comparing the performances of phased array radar,single input and multiple output(SIMO)radar,multiple input and single output(MISO)radar,and PA-MIMO radar with optimal array element configuration,it was verified that the hybrid distributed PA-MIMO radar system utilized the correlation of signals within sub-arrays and the independence of signals between sub-arrays to simultaneously obtain coherent processing gain and waveform diversity gain,and its maximum detection probability reached 0.987 4,which was higher than the other four radar systems,effectively improving the target detection performance of the radar system.Finally,the effect of channel reciprocity and pulse accumulation on the radar detection performance was verified by simulation analysis.
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维普
