SSP'05 -- Proceedings

	IEEE/SP 13th workshop on Statistical Signal Processing July, 17-20, 2005 - Bordeaux - France

Information regarding the paper

Title

Detection of Signals in Nonstationary Random Noise via Stationarization and Stationarity Test

Author(s)

Hiroshi Ijima	Kyoto Institute of Technology
Ryo Okui	Kyoto Institute of Technology
Akira Ohsumi	Kyoto Institute of Technology

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Abstract

In this paper, a novel method is proposed for detection of signals from the observation data corrupted by nonstationary random noise. Key approach is to estimate time-varying coefficients related as nonstationarity from the observation data, and the observation data is stationarized using estimated coefficients. As a method of signal detection, stationarity test is employed. Several numerical simulations show that our proposed method is effective to detect signals.