Interference-Robust Processing of OFDM Radar Signals Using Compressed Sensing

被引：6

作者：

Knill, Christina ^{[1
]}

Schweizer, Benedikt ^{[1
]}

Waldschmidt, Christian ^{[1
]}

机构：

[1] Ulm Univ, Inst Microwave Engn, D-89081 Ulm, Germany

来源：

IEEE SENSORS LETTERS | 2020年 / 4卷 / 04期

关键词：

Sensor signal processing; automotive; compressed sensing (CS); complex approximate message passing (CAMP); frequency-modulated continuous wave (FMCW); interference; orthogonal frequency-division multiplexing (OFDM); radar; signal processing; signal separation; MUTUAL INTERFERENCE;

D O I：

10.1109/LSENS.2020.2980165

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

An essential prerequisite for radars in automotive applications, safety systems, future autonomous driving, and industry applications is the reliable operation even under difficult conditions such as interference from other radars. Recently, digital radar principles such as orthogonal frequency division multiplexing (OFDM) have gained increasing attention. In this letter, an interference-robust processing for OFDM radar signals using compressed sensing is presented, which is particularly suitable for random OFDM but also applicable to stepped and standard OFDM. It allows robust radar operation in the presence of interfering signals that have a comparable low instantaneous bandwidth and high narrowband power. The method is validated experimentally using measurements of an OFDM radar setup at 76 GHz and a state-of-the-art FMCW radar as an interferer.

引用

页数：4

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