Roy, Vijayendra Mohan ; Anand , G. V. (2006) A suprathreshold stochastic resonance based preprocessor for direction-of-arrival estimation IEEE Region 10 Conference, TENCON 2006 . pp. 1-4.
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Official URL: http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arn...
Related URL: http://dx.doi.org/10.1109/TENCON.2006.343688
Abstract
In this paper we propose a nonlinear preprocessor for enhancing the performance of processors used for direction-of-arrival (DOA) estimation in heavy-tailed non-Gaussian noise. The preprocessor, based on the phenomenon of suprathreshold stochastic resonance (SSR), provides SNR gain. The preprocessed data is used for DOA estimation by the MUSIC algorithm. Simulation results are presented to show that the SSR preprocessor provides a significant improvement in the performance of MUSIC in heavy-tailed noise at low SNR.
| Item Type: | Article |
|---|---|
| Source: | Copyright of this article belongs to IEEE. |
| ID Code: | 89751 |
| Deposited On: | 30 Apr 2012 14:54 |
| Last Modified: | 27 Feb 2023 12:37 |
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