Title :
Sparse passive radar imaging based on direct broadcasting satellite
Author :
Lu Hongchao ; Wang Tianyun ; Liu Changchang ; Chen Weidong
Author_Institution :
Dept. of EEIS, Univ. of Sci. & Technol. of China, Hefei, China
Abstract :
Direct broadcasting satellites (DBS) are located in geosynchronous orbit, and have the advantages of fixed system structure, broad beam coverage, and strong radiation power. Therefore, this paper studies the performance of DBS as the opportunity illuminators for passive radar. After establishing distributed passive radar imaging model based on DBS, we propose a sparse imaging method based on compressive sensing. Simulation results show the effectiveness of the new method.
Keywords :
artificial satellites; broadcasting; compressed sensing; passive radar; radar imaging; DBS; broad beam coverage; compressive sensing; direct broadcasting satellite; geosynchronous orbit; radiation power; sparse passive radar imaging; compressive sensing; digital live satellite; passive radar imaging; sparse reconstruction;
Conference_Titel :
Signal Processing (ICSP), 2012 IEEE 11th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-2196-9
DOI :
10.1109/ICoSP.2012.6491941