Compressive Detection Using Sub-Nyquist Radars for Sparse Signals
Compressive Detection Using Sub-Nyquist Radars for Sparse Signals
复制标题
使用亚奈奎斯特雷达进行稀疏信号的压缩检测
DOI：
10.1155/2016/3512617
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发表时间：
2016-09
影响因子：
1.5
通讯作者：
Yi Tang
中科院分区：
文献类型：
--
作者：
Ying Sun;Jianjun Huang;Jingxiong Huang;Li Kang;Li Lei;Yi Tang
本文研究了亚奈奎斯特雷达的压缩检测问题，该方法能显著降低计算负担，节省功耗和计算时间，非常适合于高带宽的实时处理场景。针对亚奈奎斯特雷达，提出了一种无需重构信号的稀疏信号压缩广义似然比检测器。分析了压缩广义似然比检测器的性能，给出了理论界。亚奈奎斯特雷达的压缩GLRT检测性能也比较传统的雷达，采用传统的模拟到数字转换（ADC）在奈奎斯特采样率的传统GLRT检测性能。仿真结果表明，前者可以执行几乎以及后者与传统的检测所需的测量数量在相对高的信噪比（SNR）的情况下，一个非常小的分数。
This paper investigates the compression detection problem using sub-Nyquist radars, which is well suited to the scenario of high bandwidths in real-time processing because it would significantly reduce the computational burden and save power consumption and computation time. A compressive generalized likelihood ratio test (GLRT) detector for sparse signals is proposed for sub-Nyquist radars without ever reconstructing the signal involved. The performance of the compressive GLRT detector is analyzed and the theoretical bounds are presented. The compressive GLRT detection performance of sub-Nyquist radars is also compared to the traditional GLRT detection performance of conventional radars, which employ traditional analog-to-digital conversion (ADC) at Nyquist sampling rates. Simulation results demonstrate that the former can perform almost as well as the latter with a very small fraction of the number of measurements required by traditional detection in relatively high signal-to-noise ratio (SNR) cases.
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DOI：
10.1007/s00034-016-0301-z
发表时间：
2016-03
期刊：
Circuits, Systems, and Signal Processing
影响因子：
--
作者：
Zhaocheng Yang;Yuliang Qin;R. D. Lamare;Hongqiang Wang;Xiang Li
通讯作者：
Zhaocheng Yang;Yuliang Qin;R. D. Lamare;Hongqiang Wang;Xiang Li
影响因子：
1.7
作者：
A. Hariri;M. Babaie-zadeh
通讯作者：
A. Hariri;M. Babaie-zadeh
影响因子：
5.4
作者：
Kfir Gedalyahu;Ronen Tur;Yonina C. Eldar
通讯作者：
Kfir Gedalyahu;Ronen Tur;Yonina C. Eldar
影响因子：
2.5
作者：
Candès, EJ;Romberg, J;Tao, T
通讯作者：
Tao, T
影响因子：
5.4
作者：
VAUGHAN, RG;SCOTT, NL;WHITE, DR
通讯作者：
WHITE, DR