贝叶斯推理运动轨迹相干累积的动目标检测方法

doi:10.7527/S1000-6893.2022.26823

Abstract

Abstract:

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.

Key words: pulse-Doppler radar, Bayesian inference, detection focus, matched filter, range migration, Doppler frequency migration

CLC Number:

V243.2

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.

Figures/Tables 12

Fig. 1

Table 1

Comparison of computational complexity

算法	运算复杂度
MTD	$O (M N l o g 2 M)$
RFT	$O (N p N v M N)$
R-SC	$O (N p N v N α M N + K M 1.5 l o g 2 M)$
R-MHLV	$O (N p N v M N + K M 2 l o g 2 M)$
TRNU-SCI	$O (N M l o g 2 M N + M 1.5 l o g 2 M)$
GRFT	$O (N p N v N α N β M N)$
本文算法	$Ο (K M N N p l o g 2 (M N) + 1 + I 3)$

Table 1

Fig. 2

Table 2

Table 3

Parameters of high-speed targets（Target 1 & 2）

编号	距离 $R 0$ /km	速度 v/（m·s ^-1）	加速度 $a$ /（m·s ^-2）	突变加速度 $β$ /（m·s ^-3）
1	6.00	1 000	-10	-30
2	7.00	-970	20	0

Table 3

Fig. 3

Fig. 4

Fig. 5

Fig. 6

Fig. 7

Fig. 8

Fig. B1

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参数	数值
载频/ GHz	1
脉冲带宽/MHz	5
采样频率/MHz	15
脉冲重复周期/ms	0.5
脉冲持续时间/μs	10
脉冲数	900

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A moving target detector with coherent integration of Bayesian-inferred motion trajectories

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