DocumentCode
120515
Title
Joint design transmission waveform and sensing matrix for the compressive sensing radar
Author
Peng Chen ; Lenan Wu
Author_Institution
Sch. of Inf. Sci. & Eng., Southeast Univ., Nanjing, China
fYear
2014
fDate
23-25 July 2014
Firstpage
558
Lastpage
563
Abstract
The problems of optimal design transmission waveform and sensing matrix in the compressive sensing radar (CSR) system were considered. A new iteration algorithm was proposed for joint design transmission waveform and sensing matrix. This algorithm had better rate of convergence and less mutual coherence than traditional design methods. We gave simulation results of the target detection performance of the CSR system using proposed algorithm in the delay-Doppler plane. The simulation results showed that the optimal design CSR system had better target detection performance than random choosing radar system under conditions of different SNR, number of measurements, and number of targets.
Keywords
compressed sensing; iterative methods; matrix algebra; object detection; radar detection; compressive sensing radar system; delay-Doppler plane; iteration algorithm; joint design transmission waveform and sensing matrix; optimal design CSR system; target detection performance; Algorithm design and analysis; Coherence; Joints; Linear programming; Optimization; Radar; Sensors; compressive sensing radar (CSR); iteration algorithm; joint optimization; mutual coherence; orthogonal matching pursuit (OMP) algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Communication Systems, Networks & Digital Signal Processing (CSNDSP), 2014 9th International Symposium on
Conference_Location
Manchester
Type
conf
DOI
10.1109/CSNDSP.2014.6923891
Filename
6923891
Link To Document