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Detection and estimation of an unknown narrow-band signal in severely nonstationary noise

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2 Author(s)
Jonsson, J.O. ; Sch. of Electr. Eng., Cornell Univ., Ithaca, NY, USA ; Steinhardt, A.

The problems of detection and estimation of an unknown narrowband signal in a severely nonstationary interference environment are addressed. The interference is viewed as a stochastic process n(m,t) in two variables (m representing the sensor, and t the time); if t is fixed the corresponding process is stationary but if m is fixed it is nonstationary. A uniform linear array is assumed, and it is also assumed that the carrier frequency is known and that the direction of arrival (DOA) of the desired signal does not change. The detection problem is discussed for a known DOA, and it is shown that it is a constant false alarm rate (CFAR) detector. The approach taken here is an application/extension of the multiwindow method for spectrum estimation and harmonic analysis introduced by D.J. Thomson (1982). How the signal is estimated if present and how to estimate the DOA are briefly discussed

Published in:
Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on  (Volume:5 )

Date of Conference: 23-26 Mar 1992

Page(s):
253 - 256 vol.5
Meeting Date :
23 Mar 1992-26 Mar 1992
ISSN :
1520-6149
Print ISBN:
0-7803-0532-9
INSPEC Accession Number:
4463439
Conference Location :
San Francisco, CA
Digital Object Identifier :
10.1109/ICASSP.1992.226522
Product Type:
Conference Publications

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