Interference-Robust Processing of OFDM Radar Signals Using Compressed Sensing

被引:5
作者
Knill, Christina [1 ]
Schweizer, Benedikt [1 ]
Waldschmidt, Christian [1 ]
机构
[1] Ulm Univ, Inst Microwave Engn, D-89081 Ulm, Germany
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
收藏
页数:4
相关论文
共 19 条
[1]  
Anitori L., 2012, 2012 IEEE Radar Conference (RadarCon), P320, DOI 10.1109/RADAR.2012.6212158
[2]   Signal Processing for Passive Radar Using OFDM Waveforms [J].
Berger, Christian R. ;
Demissie, Bruno ;
Heckenbach, Joerg ;
Willett, Peter ;
Zhou, Shengli .
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2010, 4 (01) :226-238
[3]   Mutual interference of millimeter-wave radar systems [J].
Brooker, Graham M. .
IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY, 2007, 49 (01) :170-181
[4]   Automotive radar - investigation of mutual interference mechanisms [J].
Goppelt, M. ;
Bloecher, H-L ;
Menzel, W. .
ADVANCES IN RADIO SCIENCE, 2010, 8 :55-60
[5]   Compressive sensing applied to radar systems: an overview [J].
Hadi, Muhammad Abdul ;
Alshebeili, Saleh ;
Jamil, Khalid ;
Abd El-Samie, Fathi E. .
SIGNAL IMAGE AND VIDEO PROCESSING, 2015, 9 :25-39
[6]  
Hakobyan G, 2016, EUR SIGNAL PR CONF, P2230, DOI 10.1109/EUSIPCO.2016.7760645
[7]  
KNILL C, 2018, P EUR RAD C, P8
[8]   Random Multiplexing for an MIMO-OFDM Radar With Compressed Sensing-Based Reconstruction [J].
Knill, Christina ;
Roos, Fabian ;
Schweizer, Benedikt ;
Schindler, Daniel ;
Waldschmidt, Christian .
IEEE MICROWAVE AND WIRELESS COMPONENTS LETTERS, 2019, 29 (04) :300-302
[9]   High Range and Doppler Resolution by Application of Compressed Sensing Using Low Baseband Bandwidth OFDM Radar [J].
Knill, Christina ;
Schweizer, Benedikt ;
Sparrer, Susanne ;
Roos, Fabian ;
Fischer, Robert F. H. ;
Waldschmidt, Christian .
IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, 2018, 66 (07) :3535-3546
[10]  
Lellouch G, 2009, EUROP RADAR CONF, P137