Speaker: Jun Wang

Affiliation: Xidian University

Academic title: Professor

Honorary title: Senior member of Chinese Institute of Electronics, Senior Member of China Institute of Communications, "Huashan Scholar" Distinguished Professor of Xidian University.

Abstract:

Due to the continuous random and non-periodic characteristics of the passive signal, the random range sidelobe coupling (RRSC) effects of the strong clutter, i.e., the direct path signal and the strong multipath signal, will exacerbate the performance of space-time adaptive processing (STAP) in airborne passive radar (APR). Although some traditional algorithms, i.e., LS adaptive clutter cancellation and the 2-D NLMS filtering, can effectively eliminate the influence of RRSC, the target with the same Doppler frequency as clutter will also be canceled, which makes targets undetectable. To solve the problem, a cascaded least square algorithm (CLS) based on the directional dependence of clutter Doppler frequency is developed for strong clutter suppression. In addition, considering the random and non-periodic properties of APR, the multistage least squares algorithm based on subband operation and the improved STAP algorithm are proposed for clutter suppression in side-looking and non-side-looking situations, respectively.

Biography:

Jun Wang is currently a Professor with the National Key Laboratory of Radar Signal Processing, Xidian University. His research interests include passive radar system, clutter suppression, parallel computation and passive radar imaging, etc. He has approximately 140 SCI/EI papers indexed and about 70 authorized national invention patents. He has won the second prize of National Science and Technology Progress Award, the first prize of National Defense Science and Technology Progress Award, the second prize of National Defense Science and Technology Progress Award, and the second prize of China Ordnance and Equipment Group Science and Technology Progress Award, etc.