Performance Analysis of Interference Cancellation Algorithms for an FM Based PCL System

An FM radio based PCL system is a passive radar technique for detecting the multiple moving targets from FM radio signals and tracking the trajectories of the targets by calculating the cross-correlation function of direct-path signal and target echo signals. However, the interference signals are received from a surveillance channel, which is designed to receive the target echo signals. Because of this problem, the target echo signals are masked by the strong interference signals and this makes it difficult to detect the true targets from the cross-correlation function. Adaptive filters are known as effective methods for suppressing the interference signals but there is a problem to present their accurate performances in the PCL system because many literatures used the cross-correlation function and the ratio of input and output power as a measure of the performance analysis. 논문 17-42-04-16 The Journal of Korean Institute of Communications and Information Sciences '17-04 Vol.42 No.04 https://doi.org/10.7840/kics.2017.42.4.819 819 ※ 본 연구는 LIG Nex1의 “PCL 위치탐지기술 연구 (계약번호 Y16-009)”에 대한 연구용역으로 수행하였음. First Author : Department of Electrical and Computer Engineering, Pusan National University, fot97311@pusan.ac.kr, 학생회원 ° Corresponding Author : Department of Electronics Engineering, Pusan National University, hnkim@pusan.ac.kr, 종신회원 * Department of Electronics and Computer Engineering, Pusan National University, dkcspl@pusan.ac.kr, 학생회원 ** LIG 넥스원 (LIG Nex1) 논문번호:KICS2016-10-311, Received October 14, 2016; Revised April 5, 2017; Accepted April 6, 2017 The Journal of Korean Institute of Communications and Information Sciences '17-04 Vol.42 No.04 820 그림 1. PCL 수신기 구조 Fig. 1. PCL receiver structure. In this paper, a performance analysis method is proposed to evaluate the performance of interference cancellation algorithms. By using the property that each component of the filter weight vector is adjusted to suppress the specific interference signal, a performance measure of the interference signal suppression is defined by a function of adaptive filter weights. Based on the proposed method, we compare the performance of the adaptive filters used in the PCL system. Simulation results show that the proposed method can be very effective for evaluating the performance of interference cancellation algorithms.