Title :
RIP analysis of the measurement matrix for compressive sensing-based MIMO radars
Author :
Bo Li ; Petropulu, A.
Author_Institution :
ECE Dept., State Univ. of New Jersey, Piscataway, NJ, USA
Abstract :
This paper considers range-angle-Doppler estimation in collocated, compressive sensing-based MIMO (CS-MIMO) radars with arbitrary array configuration. In the literature, the effectiveness of CS-MIMO radars has been studied mostly via simulations. Although there exist some theoretical results for MIMO radars with linear arrays, those cannot be easily extended to arbitrary array configurations. This paper analyzes the restricted isometry property (RIP) of the measurement matrix. The RIP conditions involve, among other quantities, the number of transmit and receive antennas. A scheme is proposed that selects the subset of receive antennas with the smallest cardinality that meet the RIP conditions.
Keywords :
MIMO radar; compressed sensing; matrix algebra; phased array radar; CS-MIMO radars; RIP analysis; arbitrary array configuration; compressive sensing-based MIMO radars; linear arrays; measurement matrix; range-angle-Doppler estimation; receive antennas; restricted isometry property; transmit antennas; Arrays; Estimation; MIMO radar; Optimization; Receiving antennas; Vectors; Collocated MIMO radar; antenna selection; restricted isometry property; sparse sensing;
Conference_Titel :
Sensor Array and Multichannel Signal Processing Workshop (SAM), 2014 IEEE 8th
Conference_Location :
A Coruna
DOI :
10.1109/SAM.2014.6882451