TY - GEN
T1 - Analysis and design of algorithms for compressive sensing based noise radar systems
AU - Shastry, Mahesh C.
AU - Kwon, Yangsoo
AU - Narayanan, Ram M.
AU - Rangaswamy, Muralidhar
PY - 2012
Y1 - 2012
N2 - We study the compressive radar imaging problem from the perspective of statistical estimation. The goal of this paper is to characterize the estimation error. Conventional radar estimation and detection techniques are characterized by concrete performance guarantees which relate directly to practical systems. The state evolution approach applied to compressive sensing is particularly useful for such analysis. We emphasize the importance of the uniform norm of the estimation error for radar imaging. In the second part of the paper, we propose a weighted compressive sampling scheme for noise radar imaging that utilizes prior information about the target scene. The weights are obtained using the mutual information estimation between target echoes and the transmitted signals with an energy constraint.
AB - We study the compressive radar imaging problem from the perspective of statistical estimation. The goal of this paper is to characterize the estimation error. Conventional radar estimation and detection techniques are characterized by concrete performance guarantees which relate directly to practical systems. The state evolution approach applied to compressive sensing is particularly useful for such analysis. We emphasize the importance of the uniform norm of the estimation error for radar imaging. In the second part of the paper, we propose a weighted compressive sampling scheme for noise radar imaging that utilizes prior information about the target scene. The weights are obtained using the mutual information estimation between target echoes and the transmitted signals with an energy constraint.
UR - http://www.scopus.com/inward/record.url?scp=84867193133&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84867193133&partnerID=8YFLogxK
U2 - 10.1109/SAM.2012.6250503
DO - 10.1109/SAM.2012.6250503
M3 - Conference contribution
AN - SCOPUS:84867193133
SN - 9781467310710
T3 - Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
SP - 333
EP - 336
BT - 2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012
T2 - 2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012
Y2 - 17 June 2012 through 20 June 2012
ER -