Joint compressive single target detection and parameter estimation in radar without signal reconstruction
Joint compressive single target detection and parameter estimation in radar without signal reconstruction
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DOI：
10.1049/iet-rsn.2014.0425
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发表时间：
2015-09
影响因子：
1.7
通讯作者：
A. Hariri;M. Babaie-zadeh
中科院分区：
文献类型：
--
作者：
A. Hariri;M. Babaie-zadeh
在这项研究中，提出了一种用于压缩感知雷达的检测器/估计器，该检测器/估计器不需要重构雷达信号，并且直接根据压缩测量来工作。更准确地说，通过对测量数据的直接处理，该系统不需要重建原始雷达信号，而是执行目标检测，然后在高斯杂波存在的情况下估计距离、多普勒频移和雷达散射截面。可以看出，在大压缩比情况下，检测性能和估计质量与普通雷达系统相当，而数据率要低得多，计算量也更小。
In this study, a detector/estimator is proposed for compressed sensing radars, which does not need to reconstruct the radar signal, and which works directly from compressive measurements. More precisely, through direct processing of the measurements, and without the need for reconstructing the original radar signal, the system performs target detection, and then estimates range, Doppler frequency shift and radar cross section in the presence of a Gaussian clutter. It can be seen that for large compression ratios, the detection performance and estimation quality is comparable with a common radar system while having a much lower data rate and with less computational load.