DocumentCode :
2750409
Title :
FM interference suppression in spread spectrum communications using time-varying autoregressive model based instantaneous frequency estimation
Author :
Shan, Peijun ; Beex, A.A.
Author_Institution :
Bradley Dept. of Electr. Eng., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA
Volume :
5
fYear :
1999
fDate :
1999
Firstpage :
2559
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
Keywords :
autoregressive processes; filtering theory; frequency estimation; frequency modulation; interference suppression; notch filters; spread spectrum communication; time-varying filters; Wigner-Ville distribution; frequency modulated interference; instantaneous frequency estimation; interference suppression; spread spectrum communications; time-varying autoregressive model; time-varying notch filter; Filtering; Frequency estimation; Frequency modulation; Gabor filters; Interference suppression; Laboratories; Signal synthesis; Spread spectrum communication; Time frequency analysis; Time varying systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Conference_Location :
Phoenix, AZ
ISSN :
1520-6149
Print_ISBN :
0-7803-5041-3
Type :
conf
DOI :
10.1109/ICASSP.1999.760653
Filename :
760653
Link To Document :
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