正交压缩采样雷达脉冲多普勒处理方案

Chao Liu, Feng Xi, Shengyao Chen, Zhong Liu
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引用次数: 0

摘要

正交压缩采样(QuadCS)是一种用于获取射频信号的相位分量和正交分量的亚奈奎斯特采样系统。讨论了QuadCS系统在脉冲多普勒雷达中的应用,提出了一种基于次奈奎斯特采样的压缩采样脉冲多普勒(CoSaPD)处理方案。与传统的处理方法一样,通过频谱分析仪实现多普勒估计。检测是在多普勒本数据上完成的。利用稀疏恢复算法对检测目标进行距离估计。由于恢复算法固有的检测特性,可以在距离估计阶段将检测阈值设置得较低,然后将引入的假目标去除。仿真结果表明,在-25dB以上信噪比为奈奎斯特采样率1 / 8的情况下,CoSaPD方案可以达到经典奈奎斯特采样处理的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A pulse-Doppler processing scheme for quadrature compressive sampling radar
Quadrature compressive sampling (QuadCS) is a sub-Nyquist sampling system for acquiring inphase and quadrature (I/Q) components of radio-frequency signals. This paper discusses the application of the QuadCS system to pulse-Doppler radars and develops a compressive sampling pulse-Doppler (CoSaPD) processing scheme from the sub-Nyquist samples. The Doppler estimation is realized through spectrum analyzer as in classic processing. The detection is done on the Doppler bin data. The range estimation is performed through sparse recovery algorithms on the detected targets. Due to inherent detection property of the recovery algorithms, the detection threshold can be set at a low value and then the introduced false targets are removed in the range estimation stage. Simulation results show that the CoSaPD scheme with the data at one eighth the Nyquist rate and for SNR above -25dB can achieve performance of the classic processing with Nyquist samples.
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