Space-time-range three dimensional adaptive processing

Shengqi Zhu, Guisheng Liao, Yi Qu, Zhengguang Zhou
2009 2009 IEEE International Conference on Acoustics, Speech and Signal Processing  
Space-time adaptive processing (STAP) is an effective tool for moving target detection. Conventional STAP methodologies process the angular and Doppler two dimensional data vector. In practical applications, adjacent range cells are statistically dependent due to filtering, since the point spreading function of a target is not an ideal delta function. In this paper, a novel approach incorporating range (fast time) information in STAP is presented for clutter rejection, which we term
more » ... we term space-time-range adaptive processing (STRAP). This method takes advantage of the correlation information of neighboring range cells. Therefore, the stationary clutter can be suppressed better compared with traditional STAP algorithms ignoring fast time information, resulting in more effective moving target detection. The validity of the STRAP algorithm is verified by the experiments of processing the real measured data of the three-channel X-band radar and MCARM radar systems. Index Terms-Space-time adaptive processing (STAP), Ground moving target indication (GMTI), Synthetic aperture radar (SAR), Doppler beam sharpening (DBS), Space-time-range adaptive processing (STRAP).
doi:10.1109/icassp.2009.4960014 dblp:conf/icassp/ZhuLQZ09 fatcat:mietyryeojh4xirtnepmmwrfbq