FM interference suppression in spread spectrum communications using time-varying autoregressive model based instantaneous frequency estimation

Authors:
P. Shan;A. A. Beex
Affiliations:
Bradley Dept. of Electr. Eng., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA;-
Venue:
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 05
Year:
1999

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Extension of the Capon's spectral estimator to time-frequency analysis and to the analysis of polynomial-phase signals

Signal Processing

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Abstract

In case of a strong frequency modulated interference in a spread spectrum communication system, the interference can be effectively suppressed by applying a time-varying notch filter with its zero(s) placed at an instantaneous frequency (IF) estimate of the interference. In this paper, we present the use of a time-varying autoregressive model based IF estimator in such a scenario. We model the received signal with an autoregressive model whose coefficients are time-varying and modeled as a combination of a set of known functions of time. The IF of the interference is estimated from the model. It is demonstrated that this method provides superior performance compared to using a time-frequency distribution. The comparison reveals that the Wigner-Ville distribution peak based IF estimator suffers drawbacks such that its filtering gain is limited.