Title :
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
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;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location :
Toulouse
Print_ISBN :
1-4244-0469-X
DOI :
10.1109/ICASSP.2006.1660846
