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.

中文翻译：

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存在杂波时的一位压缩雷达传感

我们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来对接收到的噪声信号进行一位量化。考虑到距离多普勒域中目标的稀疏性，我们在杂波不存在和存在的情况下通过稀疏恢复方法解决问题。所提出的方法导致可以通过凸近似来解决的优化问题。数值例子证实了所提出方法的有效性。