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Signal Detection in Clutter Using Maximum Entropy Pdf Estimation Based on Fractional Moments

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2 Author(s)
B. A. Bastami ; Amirkabir University of Technology, Department of Electrical Engineering, Tehran, Iran, babak ; H. Amindavar

In this paper, we introduce a new method to improve the detection performance of weak unknown radar signals in the presence of unknown clutter. We use maximum entropy (MAXENT) probability density function (PDF) estimation with a new approach based on a few sampled fractional moments (FM). These moments; i.e, their fractional orders, are obtained from the observed sample variates. Using the fractional moments instead of the integer moments the estimated PDF is quite close to the true PDF. The test statistics is a fractional polynomial of very low order of the received samples

Published in:

2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings  (Volume:3 )

Date of Conference:

14-19 May 2006