TY - GEN
T1 - Narrow-band null phase-shift spatial filter based on oblique projection
AU - Hong, Hong
AU - Mao, Xing Peng
AU - Hu, Cui
AU - Guo, Ran
AU - Deng, Wei Bo
AU - Jiang, Peng
PY - 2013
Y1 - 2013
N2 - Normal methods of spatial filtering methods may change the coherent characteristic of the target, which reduces the effect of accumulation in coherent systems despite the improvement of signal-to-interference and noise ratio (SINR). To avoid the amplitude and phase distortion introduced by the filters, null phase-shift spatial filter (NPSF) is proposed in this paper. NPSF can suppress the interference while keeping the original information of the target signal. However, the performance of NPSF will be influenced by the estimation error of the target's spatial parameter. To solve this problem, an improved NPSF, narrow-band null phase-shift spatial filter (NNPSF), is proposed. The method to construct the weight vector of NNPSF is introduced. Theoretical analysis and simulation results demonstrate that the NNPSF is a valid spatial filtering technology. With reducing the accuracy of estimation, NNPSF is more suitable and robust in practical systems.
AB - Normal methods of spatial filtering methods may change the coherent characteristic of the target, which reduces the effect of accumulation in coherent systems despite the improvement of signal-to-interference and noise ratio (SINR). To avoid the amplitude and phase distortion introduced by the filters, null phase-shift spatial filter (NPSF) is proposed in this paper. NPSF can suppress the interference while keeping the original information of the target signal. However, the performance of NPSF will be influenced by the estimation error of the target's spatial parameter. To solve this problem, an improved NPSF, narrow-band null phase-shift spatial filter (NNPSF), is proposed. The method to construct the weight vector of NNPSF is introduced. Theoretical analysis and simulation results demonstrate that the NNPSF is a valid spatial filtering technology. With reducing the accuracy of estimation, NNPSF is more suitable and robust in practical systems.
UR - https://www.scopus.com/pages/publications/84884845693
U2 - 10.1109/RADAR.2013.6586063
DO - 10.1109/RADAR.2013.6586063
M3 - 会议稿件
AN - SCOPUS:84884845693
SN - 9781467357920
T3 - IEEE National Radar Conference - Proceedings
BT - IEEE Radar Conference 2013
T2 - 2013 IEEE Radar Conference: "The Arctic - The New Frontier", RadarCon 2013
Y2 - 29 April 2013 through 3 May 2013
ER -