Title :
Research on the Interference Cancelation in SFN Based Passive Radar
Author :
Tao, Shan ; Miao, Wu ; Jinlu, Yang ; Zhihai, Zhuo
Author_Institution :
Sch. of Inf. & Electron., Beijing Inst. of Technol., Beijing, China
Abstract :
It is important to get a high-quality reference signal for the cancellation and correlation detection in passive radar. The single frequency network (SFN) configuration of transmitters will cause the interference in the reference channel. The infinite impulse response filter based on the normalized least mean square rule (IIR_NLMS) can improve the cancellation gain and signal noise ratio (SNR) of the target echo, but it has limited capability in suppressing co-channel interference. In order to solve this problem, a type of equalization filter is proposed, and then combining with the IIR_NLMS filter, the equalization IIR_NLMS filter is obtained. Simulation results verify the efficiency of the algorithm.
Keywords :
IIR filters; cochannel interference; correlation theory; interference suppression; least mean squares methods; passive radar; radar transmitters; channel reference; co-channel interference suppression; correlation detection; infinite impulse response filter; interference cancelation; normalized least mean square rule; passive radar; signal noise ratio; signal reference; single frequency network; target echo; Adaptive filters; Correlation; Filtering algorithms; IIR filters; Interchannel interference; Passive radar; Signal to noise ratio; Cancellation; Passive Radar; Single Frequency Network;
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2011 Third International Conference on
Conference_Location :
Shangshai
Print_ISBN :
978-1-4244-9010-3
DOI :
10.1109/ICMTMA.2011.602
