| Paper: | SAM-P1.9 | ||
| Session: | Array Processing | ||
| Time: | Tuesday, May 18, 13:00 - 15:00 | ||
| Presentation: | Poster | ||
| Topic: | Sensor Array and Multichannel Signal Processing: Beamforming, direction-of-arrival estimation, and space-time adaptive processing | ||
| Title: | ARRAY SIGNAL PROCESSING USING GARCH NOISE MODELING | ||
| Authors: | Hadi Amiri; Amirkabir University of Technology | ||
| Hamidreza Amindavar; Amirkabir University of Technology | |||
| Rodney Lynn Kirlin; University of Victoria | |||
| Abstract: | In this paper we propose a new method for modeling practicalnon-Gaussian and non-stationary noise in array signal processing.GARCH (Generalized Autoregressive Conditional Heteroscedasticity) models are feasible for heavy talied pdfs and time varying variances of stochastic processes. We use GARCH noise model in the maximum likelihood approach for the estimation of Direction-Of-Arrivals DOAs. Our analysis exploits time varying variance and spatially non uniform noise in sensored array signal processing. We show through simulation that this GARCH modeling is suitable for high-resolution source separation and noise suppression in a non-Gaussian environment. | ||
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