A nonlinear adaptive filter for narrowband interference mitigation in spread spectrum systems
作者： K. Deergha Rao , M.N.S. Swamy , E.I. Plotkin
DOI: 10.1016/J.SIGPRO.2004.11.005
关键词:
摘要: This paper presents a novel approach based on the estimation of jammer instantaneous frequency for excision narrowband interferences in spread spectrum systems. Using three-coefficient finite impulse response (FIR) model interference, an augmented state-space representation received signal (spread signal+ noise + interference signal) is developed. Based developed, Kalman-type nonlinear adaptive filter, namely, augmented-state approximate-conditional-mean (ASACM) formulated to estimate unknown from signal. The receiver performance and problem stability proposed filter are addressed. improvement achieved with quantified comparison linear one FIR prediction filter. efficacy corroborated simulation examples suppression Simulation results show that effective suppressing powerful systems good output SNRs.
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