Clutter Cancellation for Airborne Passive Radar Based on Frequency-domain Block RDS-LMS Algorithm
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摘要: 针对机载外辐射源雷达多普勒展宽的杂波对消问题,该文提出频域分块距离-多普勒-空间LMS(RDS-LMS)算法。该算法利用杂波的空时依赖性,沿杂波脊进行对消,避免对杂波多普勒带内目标的对消。通过频域分块处理,减小了迭代次数并可以利用FFT快速实现,降低了算法的计算量。基于实测数据的仿真结果表明:该算法能够有效对消杂波,且对杂波带内的目标影响很小,对径向速度大于10 m/s的目标,信噪比损失在1 dB以内。计算复杂度分析表明:频域分块实现使算法计算量降低了42倍,根据在地基外辐射源雷达中已实时实现的FBLMS算法估算,结合GPU并行处理,该文算法处理1 s数据用时为771 ms,能够满足实时性需求。Abstract: 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.
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