Compressive sensing radar: Simulation and experiments for target detection

Author

Anitori, L. ; van Rossum, W. ; Otten, M. ; Maleki, Ali ; Baraniuk, Richard

Author_Institution

TNO, The Hague, Netherlands

fYear

2013

fDate

9-13 Sept. 2013

Firstpage

1

Lastpage

5

Abstract

In this paper the performance of a combined Constant False Alarm Rate (CFAR) Compressive Sensing (CS) radar detector is investigated. Using the properties of the Complex Approximate Message Passing (CAMP) algorithm, it is demonstrated that the behavior of the CFAR processor can be separated from that of the non-linear ℓ₁-norm recovery, thus allowing the use of standard radar equations to evaluate detection performance. The CS CFAR processor has been evaluated under different interference scenarios using both the Cell Averaging (CA) and Order Statistic (OS) CFAR detectors. The performance of the CS CFAR processor is also compared to that of an ℓ₁-norm detector using both simulations and experimental data.

Keywords

compressed sensing; message passing; radar target recognition; ℓ1-norm detector; CS CFAR processor; CS radar detector; cell averaging CFAR detector; complex approximate message passing algorithm; compressive sensing radar; constant false alarm rate; detection performance; interference scenarios; nonlinear ℓ₁-norm recovery; order statistic CFAR detector; standard radar equations; target detection; Clutter; Compressed sensing; Computer architecture; Detectors; Noise; Radar detection; CFAR; Complex Approximate Message Passing; Compressive Sensing; Detection; Radar;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Conference (EUSIPCO), 2013 Proceedings of the 21st European

Conference_Location

Marrakech

Type

conf

Filename

6811468