Adaptive anntena array receivers for spread-spectrum signals in impulsive noise

Dimitris A. Pados; Michael J. Medley; Stella N. Batalama

doi:10.1117/12.351224

24 June 1999 Adaptive anntena array receivers for spread-spectrum signals in impulsive noise

Dimitris A. Pados, Michael J. Medley, Stella N. Batalama

Proceedings Volume 3708, Digital Wireless Communication; (1999) https://doi.org/10.1117/12.351224
Event: AeroSense '99, 1999, Orlando, FL, United States

Abstract

We consider the problem of recovering a spread-spectrum signal in the presence of unknown highly correlated spread- spectrum interference and impulsive noise. In terms of basic system and signal model considerations, we assume availability of a narrowband adaptive antenna array that experiences additive white Gaussian noise in time and across elements, as well as impulsive disturbance that is correlated across elements. The space-time receiver design developed in this work is characterized by the following attributes: (1) Adaptive interference suppression is pursued in the joint space-time domain. (2) An adaptive parametric non-linear front-end offers effective suppression of impulsive disturbances at low computational cost. (3) An adaptive auxiliary-vector linear filter post-processor offers effective, low-complexity suppression of SS interferes that avoids eigen-decomposition and/or matrix inversion operations and leads to superior BER performance under rapid, short-data-record system adaptation. Numerical and simulation comparisons with plain and outlier resistant space-time MVDR filtering procedures are included to illustrate and support the theoretical developments.

Citation Download Citation

Dimitris A. Pados, Michael J. Medley, and Stella N. Batalama "Adaptive anntena array receivers for spread-spectrum signals in impulsive noise", Proc. SPIE 3708, Digital Wireless Communication, (24 June 1999); https://doi.org/10.1117/12.351224

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KEYWORDS

Receivers

Antennas

Interference (communication)

Linear filtering

Digital filtering

Electronic filtering

Nonlinear filtering

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