ACTA AERONAUTICAET ASTRONAUTICA SINICA >
A moving target detector with coherent integration of Bayesian-inferred motion trajectories
Received date: 2021-12-16
Revised date: 2021-12-30
Accepted date: 2022-03-21
Online published: 2022-03-30
Supported by
National Natural Science Foundation of China(11974082)
It has been shown theoretically and practically that coherent integration is an effective method for moving target detection. Unfortunately， its performance is seriously damaged by the unknown range and/or Doppler frequency migrations in a coherent processing interval. To handle such a problem， a moving target detector with the coherent integration of Bayesian-inferred motion trajectories is proposed in this paper. Analyses show that by flipping the range-frequency of the pulse compressed echo signal， the time-frequency signal describing the motion trajectories of the detected targets in the slow-time domain is got by the inverse Fourier transform of the product of the original echo signal and the flipped one. When the time-frequency signal is observed and its phases describing the detected moving target trajectories are regarded as state variables， a state space model for inferring the motion trajectories of multiple targets is given. Based on the inferred target trajectories， the range-frequency-slow-time 2D matched filters are constructed to compensate the unknown range and/or Doppler frequency migrations in an echo signal. Numerical simulation results verify that the proposed method can be applied to high speed/maneuvering targets with unknown complex motion form， and has superior performance than the methods reported in the literature.
Wenbin YANG , Yuebin WANG , Dan LI , Jianqiu ZHANG . A moving target detector with coherent integration of Bayesian-inferred motion trajectories[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2023 , 44(6) : 326823 -326823 . DOI: 10.7527/S1000-6893.2022.26823
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