DocumentCode :
2975626
Title :
Estimation and detection in a mixture of symmetric alpha stable and Gaussian interference
Author :
Brcich, Ramon ; Zoubir, Abdelhak
Author_Institution :
Australian Telecommun. Res. Inst., Curtin Univ. of Technol., Perth, WA, Australia
fYear :
1999
fDate :
1999
Firstpage :
219
Lastpage :
223
Abstract :
We address the problem of detecting a known signal in a mixture of independent symmetric alpha stable (SαS) and Gaussian interference. The detector is based on the optimal likelihood ratio receiver, but uses parameters estimated from a training sample. To this end, we propose a parameter estimator based on nonlinear weighted least squares (NWLS) in the characteristic function domain. We compare the NWLS estimator to the distance and moment methods, against which the NWLS estimator performs well. Finally we demonstrate the near optimal performance of the detector based on the NWLS estimator
Keywords :
Gaussian processes; interference (signal); least squares approximations; optimisation; parameter estimation; signal detection; Gaussian interference; NWLS estimator; SαS interference; characteristic function domain; near optimal performance; nonlinear weighted least squares; optimal likelihood ratio receiver; parameter estimation; signal detection; symmetric alpha stable interference; training sample; Australia; Detectors; Electronic switching systems; Gaussian noise; Interference; Least squares approximation; Maximum likelihood estimation; Random variables; Read only memory; Telecommunication computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Higher-Order Statistics, 1999. Proceedings of the IEEE Signal Processing Workshop on
Conference_Location :
Caesarea
Print_ISBN :
0-7695-0140-0
Type :
conf
DOI :
10.1109/HOST.1999.778729
Filename :
778729
Link To Document :
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