Title :
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
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;
Conference_Titel :
European Radar Conference (EuRAD), 2014 11th
Conference_Location :
Rome
DOI :
10.1109/EuRAD.2014.6991259
