Wideband array signal processing with alpha-stable distributions
- 19 November 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 1, 135-139
- https://doi.org/10.1109/milcom.1995.483286
Abstract
The importance of extending the statistical array signal processing methodology to what we call the alpha-stable framework is apparent. First, scientists and engineers have started to appreciate infinite moments and the elegant scaling and self-similarity properties of stable distributions. Additionally, real life applications exist in which impulsive channels tend to produce large-amplitude, short-duration interference more frequently than Gaussian channels do. The stable law has been shown to successfully model noise over certain impulsive channels. We propose new robust techniques for wideband source detection and localization in the presence of noise modeled as a complex isotropic stable process.Keywords
This publication has 6 references indexed in Scilit:
- Maximum likelihood localization of sources in noise modeled as a Cauchy processPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- The robust covariation-based MUSIC (ROC-MUSIC) algorithm for bearing estimation in impulsive noise environmentsIEEE Transactions on Signal Processing, 1996
- Probability of resolution of the MUSIC algorithmIEEE Transactions on Signal Processing, 1995
- Maximum likelihood localization of sources in noise modeled as a stable processIEEE Transactions on Signal Processing, 1995
- Signal processing with fractional lower order moments: stable processes and their applicationsProceedings of the IEEE, 1993
- The statistical performance of the MUSIC and the minimum-norm algorithms in resolving plane waves in noiseIEEE Transactions on Acoustics, Speech, and Signal Processing, 1986