Back to Search
Start Over
Adaptive Antenna Array Receivers for Spread-Spectrum Signals in Non-Gaussian Noise
- Source :
- Digital Signal Processing. 11:144-158
- Publication Year :
- 2001
- Publisher :
- Elsevier BV, 2001.
-
Abstract
- Pados, D. A., Medley, M. J., and Batalama, S. N., Adaptive Antenna Array Receivers for Spread-Spectrum Signals in Non-Gaussian Noise, Digital Signal Processing 11 (2001) 144–158 We consider the problem of recovering a spread-spectrum (SS) 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 with direction-of-arrival (DOA) that changes at the chip rate. The space–time receiver design developed in this work is characterized by the following attributes: (i) Adaptive interference suppression is pursued in the joint space–time domain. (ii) An adaptive parametric nonlinear front end offers effective suppression of impulsive disturbances at low computational cost. (iii) An adaptive auxiliary-vector linear filter postprocessor offers effective, low-complexity suppression of SS interferers and leads to superior bit-error-rate (BER) performance under rapid, short-data-record system adaptation. Numerical and simulation comparisons with plain and outlier resistant space–time minimum-variance-distortionless-response (MVDR) filtering procedures are included to illustrate and support the theoretical developments.
- Subjects :
- Noise (signal processing)
Computer science
business.industry
Applied Mathematics
Spread spectrum
symbols.namesake
Space-time adaptive processing
Additive white Gaussian noise
Computational Theory and Mathematics
Interference (communication)
Artificial Intelligence
Gaussian noise
Control theory
Signal Processing
symbols
Computer Vision and Pattern Recognition
Electrical and Electronic Engineering
Statistics, Probability and Uncertainty
business
Algorithm
Linear filter
Digital signal processing
Subjects
Details
- ISSN :
- 10512004
- Volume :
- 11
- Database :
- OpenAIRE
- Journal :
- Digital Signal Processing
- Accession number :
- edsair.doi...........707157415c7cfed33100a66f9a6a354d
- Full Text :
- https://doi.org/10.1006/dspr.2001.0392