Proximal Subgradient Descent Method for Cancelling Cross-Interference in FMCW Radars

被引:1
|
作者
Singhal, Manmohan [1 ]
Khanna, Saurabh [1 ]
机构
[1] Indian Inst Technol Roorkee, Elect & Commun Engn, Roorkee, India
关键词
FMCW Radar; Cross-Interference; Sparse Inference; Subgradient Descent; Proximal Gradient Descent; SUPPRESSION;
D O I
10.1109/SSP53291.2023.10208039
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this work, we address the problem of mitigating cross-interference which is commonly encountered in a dense deployment of Frequency-Modulated Continuous Wave (FMCW) radars. We present a novel proximal subgradient descent-based method to jointly infer and cancel any cross-interference potentially present in the received baseband signal of an FMCW radar. The proposed method is designed to exploit the temporal sparsity of the cross-interference and the sparsity of the interference-free received baseband signal in the range-Doppler frequency domain for improved estimation and cancellation of the cross-interference. Experiments using synthetic and real-world FMCW radar measurements demonstrate the real-time implementation potential and the superior performance of our proposed method compared to the existing cross-interference mitigation methods.
引用
收藏
页码:225 / 229
页数:5
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