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

Author

Bastami, Babak Abbasi ; Amindavar, Hamidreza

Author_Institution

Dept. of Electr. Eng., Amirkabir Univ. of Technol., Tehran

Volume

3

fYear

2006

fDate

14-19 May 2006

Abstract

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

Keywords

maximum entropy methods; polynomials; probability; radar clutter; radar detection; radar signal processing; statistical testing; PDF estimation; clutter; fractional moments; fractional polynomial; integer moments; maximum entropy; probability density function; radar signals detection; signal detection; test statistics; Entropy; Intelligent systems; Object detection; Polynomials; Probability density function; Radar clutter; Radar detection; Signal detection; Statistical analysis; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on

Conference_Location

Toulouse

ISSN

1520-6149

Print_ISBN

1-4244-0469-X

Type

conf

DOI

10.1109/ICASSP.2006.1660846

Filename

1660846