Bibliographic Details
| Title: |
A novel covariation based noncircular sources direction finding method under impulsive noise environments. |
| Authors: |
Jinfeng, Zhang1,2, Tianshuang, Qiu2 qiutsh@dlut.edu.cn |
| Source: |
Signal Processing. May2014, Vol. 98, p252-262. 11p. |
| Subjects: |
Analysis of covariance, Estimation theory, Signal processing, Matrices (Mathematics), Information theory, Subspaces (Mathematics) |
| Abstract: |
Abstract: We extend the bearing estimation method for noncircular signals to the impulsive noise scenario which can be modeled as a complex symmetric alpha-stable (SαS) process. We define the extended covariation based matrix of the sensor outputs and show that it can be applied with subspace techniques to extract the bearing information from noncircular sources. Comprehensive simulations demonstrate that the proposed direction finding algorithm outperforms the traditional NC-MUSIC algorithm in the presence of a wide range of impulsive noise environments. [Copyright &y& Elsevier] |
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| Database: |
Engineering Source |
