Clutter Cancellation for Airborne Passive Radar Based on Frequency-domain Block RDS-LMS Algorithm

被引：1
|
作者：
Yang P. [1 ,2 ,3 ]
Lü X. [1 ,2 ]
Chai Z. [1 ,2 ,3 ]
Zhang D. [1 ,2 ,3 ]
Yue Q. [1 ,2 ,3 ]
Yang J. [1 ,2 ,3 ]
机构：
[1] Institute of Electronics, Chinese Academy of Sciences, Beijing
[2] National Key Laboratory of Science and Technology on Microwave Imaging, Beijing
[3] University of Chinese Academy of Sciences, Beijing
来源：
Yang, Pengcheng (yang_peng_cheng@126.com) | 1600年 / Science Press卷 / 39期
关键词：
Airborne passive radar; Clutter cancellation; Clutter ridge; Doppler spread; Frequency-domain block; Range-Doppler-Space Least-Mean- Square (RDS-LMS);
D O I：
10.11999/JEIT170190
中图分类号：
学科分类号：
摘要：
A frequency-domain block Range-Doppler-Space Least-Mean-Square (RDS-LMS) algorithm is proposed for the cancellation of the Doppler spread of clutter for airborne passive radar. To avoid the cancellation of targets in the clutter Doppler band with the cancellation of clutter, this algorithm uses the spatial dependence of the clutter Doppler frequency and cancels clutter along the clutter ridge. With the frequency-domain block implementation, the iteration of adaptive processing is reduced and FFT can be employed. Hence, the computational load is reduced. Simulation results based on experimental data show that the proposed algorithm is able to cancel clutter effectively and more importantly it has slight influence on targets in clutter Doppler band. For example, for targets with radial velocity greater than 10 m/s, signal-to-noise ratio (SNR) loss is within 1 dB. Computational complexity analyses show that the frequency-domain block implementation reduces the computational load 42 times and according to the real-time implemented Frequency-Domain Block LMS (FBLMS) algorithm in ground based passive radar, the proposed algorithm needs 771 ms to process 1 s data with the help of parallel processing of Graphic Processing Unit (GPU) and can satisfy the need for the real-time implementation of airborne passive radar clutter cancellation. © 2017, Science Press. All right reserved.
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页码：2302 / 2310
页数：8
相关论文
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