A study of compressed sensing based collision avoidance by multi-sensor CW radar data

Author

Azodi, Hossein ; Siart, Uwe ; Eibert, Thomas F.

Author_Institution

Lehrstuhl fur Hochfrequenztech., Tech. Univ. Munchen, Munich, Germany

fYear

2014

fDate

8-10 Oct. 2014

Firstpage

269

Lastpage

272

Abstract

Compressed sensing algorithms are studied for the purpose of detecting targets and estimating their motion states in a collision warning radar system which consists of 4 continuous-wave (CW) modules operating in the industrial, scientific, and medical (ISM) frequency band around 24GHz. A method for sparse representation and a discretization adjusted to the problem are investigated. Also, the capabilities of various estimation algorithms belonging to the two groups of basis and greedy pursuits are compared considering the fine discretization in the six dimensional solution space.

Keywords

CW radar; collision avoidance; compressed sensing; estimation theory; greedy algorithms; radar detection; sensor fusion; ISM frequency band; compressed sensing based collision avoidance; continuous-wave modules; estimation algorithms; frequency 24 GHz; industrial scientific and medical frequency band; multisensor CW radar data; six dimensional solution space; sparse representation method; target detection; Collision avoidance; Compressed sensing; Estimation; Matching pursuit algorithms; Mathematical model; Radar; Sensors; anti-collision radar; compressed sensing; incoherent radar sensor network; moving target parameters estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

European Radar Conference (EuRAD), 2014 11th

Conference_Location

Rome

Type

conf

DOI

10.1109/EuRAD.2014.6991259

Filename

6991259