Title :
A novel compressed sensing based track before detect algorithm for tracking multiple targets
Author :
Liu Jing ; Han ChongZhao ; Han Feng
Author_Institution :
Sch. of Electron. & Inf. Eng., Xi´an Jiaotong Univ., Xi´an, China
Abstract :
A novel compressed sensing based track-before-detect (TBD) algorithm is presented in this paper, which is named as CS-TBD algorithm. The proposed CS-TBD algorithm reconstructs the whole radar scenario (direction of arrival (DOA)-Doppler plane) for each range gate at consecutive scans using an improved StOMP algorithm, resulting in a three-dimensional range-DOA-Doppler space. The proposed algorithm then performs temporal tracking in the newly built three-dimensional range-DOA-Doppler space, based on the information from multiple illuminations during each scan, as well as among consecutive scans. In the proposed CS-TBD algorithm, the improved StOMP algorithm together with the temporal tracking, can effectively distinguish true targets from false targets and clutter based on information from multiple illuminations.
Keywords :
Doppler radar; compressed sensing; direction-of-arrival estimation; radar detection; radar tracking; signal reconstruction; target tracking; CS-TBD algorithm; DOA-Doppler plane; compressed sensing-based TBD algorithm; compressed sensing-based track-before detect algorithm; direction of arrival Doppler plane; improved StOMP algorithm; multiple-target tracking; radar signal reconstruction; range gate; temporal tracking; three-dimensional range-DOA-Doppler space; Arrays; Logic gates; Radar tracking; Sensors; Target tracking;
Conference_Titel :
Information Fusion (FUSION), 2013 16th International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-605-86311-1-3