One-Bit Compressive Radar Sensing in the Presence of Clutter
One-Bit Compressive Radar Sensing in the Presence of Clutter
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DOI：
10.1109/taes.2019.2916532
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发表时间：
2020-02
影响因子：
4.4
通讯作者：
Sayed Jalal Zahabi;M. M. Naghsh-M.;M. Modarres-Hashemi;Jian Li
中科院分区：
文献类型：
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作者：
Sayed Jalal Zahabi;M. M. Naghsh-M.;M. Modarres-Hashemi;Jian Li
本文提出了一种压缩脉冲多普勒雷达，它通过将接收到的噪声信号与时变参考电平进行比较，对接收到的噪声信号进行一位量化来工作。考虑到目标在距离-多普勒域的稀疏性，在无杂波和有杂波的情况下，分别采用稀疏恢复的方法来解决这一问题。所提出的方法导致了一个优化问题，可以通过一个凸近似来解决。最后,数值仿真验证了提出方法的可行性和有效性.
We propose a compressive pulse-Doppler radar that works through one-bit quantization of the received noisy signal by comparing it with a time-varying reference level. Considering the sparsity of the targets in the range-Doppler domain, we solve the problem by sparse recovery methods in both the absence and presence of clutter. The proposed method leads to an optimization problem that can be tackled by a convex approximation. Numerical examples confirm the effectiveness of the proposed method.