Passive Distributed Aperture Radar Imaging Method Based on Unknown Waveform Modeling
Passive Distributed Aperture Radar Imaging Method Based on Unknown Waveform Modeling
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基于未知波形建模的无源分布式孔径雷达成像方法
DOI：
10.1109/apsar46974.2019.9048536
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Zhou Chunhua
中科院分区：
文献类型：
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作者：
Wang Jie;Wang Ling;Shen Jialian;F. Chaowei;W. Haitao;Zhou Chunhua
无源雷达利用外部照明器进行探测和跟踪，而不是自身辐射电磁波，因此具有良好的电子对抗特性，可以节省系统成本和频带资源。在无源分布孔径配置中，各发射单元和接收单元的分布是任意的，同时阵列单元的间距可以是波长的100倍或1000倍，适合于雷达的灵活配置。在考虑残余直波的基础上，研究了一种利用透射波形相关的被动分布孔径雷达成像方法。通过将机遇号照明灯传输的未知信号建模为自回归过程（AR），估计其时间相关性并将其应用于被动成像。然后，利用期望最大化（EM）算法联合估计发射波形与成像模型中未知参数的相关性；最后，在广义似然比检验（GLRT）的基础上实现被动成像。仿真实验验证了该方法的有效性。
Passive radar uses external illuminators to detect and track instead of radiating electromagnetic waves itself, so it has good electronic countermeasures characteristics, and can save system cost and frequency band resources. In passive distributed aperture configuration, the distribution of each transmitting unit and receiving unit is arbitrary, meantime the spacing of array elements can be 100 or 1000 times of wavelength, which is suitable for the flexible configuration of radar. Based on the consideration of the residual direct wave, this paper studies a passive distributed aperture radar imaging method using the correlation of transmitted waveforms. By modelling the unknown signal transmitted by the illuminators of opportunity (IO) as an autoregressive process (AR), the time correlation is estimated and applied to passive imaging. Then, the correlation of emission waveform and unknown parameters in imaging model are estimated jointly by expectation maximization (EM) algorithm. Finally, passive imaging is realized on the basis of generalized likelihood ratio test (GLRT). The effectiveness of this method is verified by simulation experiments.