Title :
MIMO radar capability on powerful jammers suppression
Author :
Yongzhe Li ; Vorobyov, Sergiy A. ; Hassanien, Aboulnasr
Author_Institution :
Dept. EE, Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
The problem of jammers suppression in colocated multiple-input multiple-output (MIMO) radar is considered. We resort to reduced dimension (RD) beamspace designs with robust-ness/adaptiveness to achieve the goal of efficient jammers suppression. Specifically, our RD beamspace techniques aim at designing optimal beamspace matrices based on reasonable tradeoffs between the desired in-sector source distortion and the powerful jammer (possibly in-sector) attenuation when conducting the jammers suppression. These designs are cast as convex optimization problems which are derived using second-order cone programming. Meanwhile, we study the MUSIC-based direction-of-arrival estimation performance of the proposed beamspace designs by comparing to the conventional algorithms. Moreover, we demonstrate that the capability of efficient powerful in-sector jammers suppression using these designs is unique in MIMO radar.
Keywords :
MIMO radar; convex programming; direction-of-arrival estimation; jamming; matrix algebra; radar signal processing; signal classification; MIMO radar capability; MUSIC-based direction-of-arrival estimation performance; RD beamspace techniques; colocated multiple-input multiple-output radar; convex optimization problems; in-sector source distortion; optimal beamspace matrices; powerful jammer attenuation; powerful jammer suppression problem; reduced dimension beamspace designs; second-order cone programming; Direction-of-arrival estimation; Estimation; Jamming; MIMO radar; Robustness; Vectors; Beamspace design; colocated MIMO radar; convex optimization; jammers suppression; robustness;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location :
Florence
DOI :
10.1109/ICASSP.2014.6854610