Title :
Interference suppression using joint spatio-temporal domain filtering in passive radar
Author :
Yuan Feng ; Tao Shan ; Shengheng Liu ; Ran Tao
Author_Institution :
Sch. of Inf. & Electron., Beijing Inst. of Technol., Beijing, China
Abstract :
This paper addresses the problem of interference cancellation in passive bistatic radar. The impact of fractional time delay, channel linearity and reference channel signal-to-noise-ratio (SNR) on the interference cancellation performance is analyzed, and the results show that the performance of adaptive cancellation algorithm is degraded by the fractional time delay, the difference between the frequency responses of the surveillance channel and the reference channel, and a low reference channel SNR. To solve this problem, a signal reconstruction method is adopted to improve the reference signal quality, and a joint spa-tiotemporal domain interference suppression method is proposed to effectively mitigate direct-path interference and multi-path interference resulting in significant target SNR improvement The effectiveness of the proposed methods is verified by real data experiments.
Keywords :
filtering theory; interference suppression; passive radar; radar signal processing; signal reconstruction; channel linearity; fractional time delay; interference cancellation; interference suppression; joint spatio-temporal domain filtering; passive bistatic radar; reference channel signal-to-noise-ratio; signal reconstruction method; Antennas; Calibration; Digital TV; Interference; Radio access networks; Sonar; Surveillance; Passive radar; adaptive filtering; digital television (DTV); interference suppression; spatial filtering;
Conference_Titel :
Radar Conference (RadarCon), 2015 IEEE
Conference_Location :
Arlington, VA
Print_ISBN :
978-1-4799-8231-8
DOI :
10.1109/RADAR.2015.7131168