FMCW Radar Imaging with Multi-channel Antenna Array via Sparse Recovery Technique

A radar system composed of a single transmitter, M receiving channels is studied. Radar echo signals are acquired to estimate the angle, range and velocity in a multiple moving target scenario. The developed algorithm is based on sparse recovery technique by exploiting the sparseness of the targets in angle-range domain. It is shown in simulations for automotive scenario that the proposed algorithm yield better performance in terms of both imaging accuracy and multiple-target resolution compared with the methods of conventional beamforming and minimum variance (Capon) beamforming.

[1]  R. Baraniuk,et al.  Compressive Radar Imaging , 2007, 2007 IEEE Radar Conference.

[2]  Reinhard Feger,et al.  A four channel 24-GHz FMCW radar sensor with two-dimensional target localization capabilities , 2008, 2008 IEEE MTT-S International Microwave Symposium Digest.

[3]  M. Melamed Detection , 2021, SETI: Astronomy as a Contact Sport.

[4]  Volkan Cevher,et al.  A compressive beamforming method , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

[5]  Thomas Strohmer,et al.  High-Resolution Radar via Compressed Sensing , 2008, IEEE Transactions on Signal Processing.

[6]  V. Winkler,et al.  Range Doppler detection for automotive FMCW radars , 2007, 2007 European Radar Conference.

[7]  Vladimir Katkovnik,et al.  System modeling and signal processing for a switch antenna array radar , 2004, IEEE Transactions on Signal Processing.

[8]  Hamid Krim,et al.  Two Decades of Array Signal Processing , 1997 .

[9]  David L Donoho,et al.  Compressed sensing , 2006, IEEE Transactions on Information Theory.

[10]  M. Viberg,et al.  Two decades of array signal processing research: the parametric approach , 1996, IEEE Signal Process. Mag..

[11]  S. Tokoro,et al.  Electronically scanned millimeter-wave radar for pre-crash safety and adaptive cruise control system , 2003, IEEE IV2003 Intelligent Vehicles Symposium. Proceedings (Cat. No.03TH8683).

[12]  Don H. Johnson,et al.  Array Signal Processing: Concepts and Techniques , 1993 .

[13]  J. Capon High-resolution frequency-wavenumber spectrum analysis , 1969 .

[14]  H. Rohling,et al.  Waveform design principles for automotive radar systems , 2001, 2001 CIE International Conference on Radar Proceedings (Cat No.01TH8559).