TY - GEN
T1 - Clutter-Ridge Matched SR-STAP Technique for Non-stationary Clutter Suppression
AU - Ye, Hongda
AU - Li, Zhongyu
AU - Liu, Zhutian
AU - Wu, Junjie
AU - Yang, Haiguang
AU - Yang, Jianyu
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/9/21
Y1 - 2020/9/21
N2 - Non-stationary clutter suppression is an attractive and challenging problem in space-time adaptive processing(STAP) algorithms. Although sparse recovery(SR) STAP can effectively alleviate strong clutter non-stationary characteristic with a few number of samples, there are still difficulties where the clutter components are not located on the discrete spacetime grid points of the dictionary, which results in significant performance loss. To overcome the off-grid problem, a clutter-ridge matched SR-STAP(CRM-SR-STAP) is proposed. In the proposed algorithm, clutter ridge is calculated at first according to prior knowledge including radar system parameters and modern inertial navigation system information. Then, the clutter-ridge matched dictionary is reconstructed to calibrate the uniformly discrete dictionary. Finally, the non-stationary clutter is suppressed by SR-STAP with this dictionary and the off-grid problem has been well-overcome. The proposed algorithm can effectively match the nonlinear characteristics of clutter under the non-side-looking array scenario, and the signal-to-interference-plus-noise ratio(SINR) loss also improves significantly. Simulations are given to verify the effectiveness of the proposed method.
AB - Non-stationary clutter suppression is an attractive and challenging problem in space-time adaptive processing(STAP) algorithms. Although sparse recovery(SR) STAP can effectively alleviate strong clutter non-stationary characteristic with a few number of samples, there are still difficulties where the clutter components are not located on the discrete spacetime grid points of the dictionary, which results in significant performance loss. To overcome the off-grid problem, a clutter-ridge matched SR-STAP(CRM-SR-STAP) is proposed. In the proposed algorithm, clutter ridge is calculated at first according to prior knowledge including radar system parameters and modern inertial navigation system information. Then, the clutter-ridge matched dictionary is reconstructed to calibrate the uniformly discrete dictionary. Finally, the non-stationary clutter is suppressed by SR-STAP with this dictionary and the off-grid problem has been well-overcome. The proposed algorithm can effectively match the nonlinear characteristics of clutter under the non-side-looking array scenario, and the signal-to-interference-plus-noise ratio(SINR) loss also improves significantly. Simulations are given to verify the effectiveness of the proposed method.
KW - SR-STAP
KW - clutter-ridge matched
KW - off-grid
UR - https://www.scopus.com/pages/publications/85098579712
U2 - 10.1109/RadarConf2043947.2020.9266628
DO - 10.1109/RadarConf2043947.2020.9266628
M3 - 会议稿件
AN - SCOPUS:85098579712
T3 - IEEE National Radar Conference - Proceedings
BT - 2020 IEEE Radar Conference, RadarConf 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE Radar Conference, RadarConf 2020
Y2 - 21 September 2020 through 25 September 2020
ER -