Subspace-based direction finding in alpha-stable noise environments
- 19 November 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 3 (15206149) , 2092-2095
- https://doi.org/10.1109/icassp.1995.478487
Abstract
There exist real world applications in which impulsive channels tend to produce large amplitude interferences more frequently than Gaussian channels. The stable law has been shown to successfully model noise over certain impulsive channels. The authors propose subspace-based methods for the direction-of-arrival estimation problem in impulsive noise environments. They define the covariation matrix of the array sensor outputs and show that eigendecomposition-based methods, such as the MUSIC algorithm, can be applied to the sample covariation matrix to extract the bearing information from the measurements.Keywords
This publication has 7 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
- Signal processing with fractional lower order moments: stable processes and their applicationsProceedings of the IEEE, 1993
- ESPRIT--A subspace rotation approach to estimation of parameters of cisoids in noiseIEEE Transactions on Acoustics, Speech, and Signal Processing, 1986
- 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
- Multiple emitter location and signal parameter estimationIEEE Transactions on Antennas and Propagation, 1986
- Multiple Source Location-A Digital ApproachIEEE Transactions on Aerospace and Electronic Systems, 1979