DocumentCode :
2057446
Title :
Majorization-minimization technique for multi-static radar code design
Author :
Naghsh, Mohammad Mahdi ; Modarres-Hashemi, M. ; Shahbazpanahi, Shahram ; Soltanalian, Mojtaba ; Stoica, Petre
Author_Institution :
ECE Dept., Isfahan Univ. of Technol., Isfahan, Iran
fYear :
2013
fDate :
9-13 Sept. 2013
Firstpage :
1
Lastpage :
5
Abstract :
In this paper, we study the problem of code design to improve the detection performance of multi-static radar in the presence of signal-dependent clutter. Due to the lack of analytical expression for receiver operation characteristic (ROC), an information-theoretic criterion, namely the KL-divergence, is considered as the design metric. The code design problem is cast as a non-convex optimization problem with a peak-to-average-power ratio (PAR) constraint. We devise a novel method based on Majorization-Minimization to tackle the arising optimization problem. Via numerical investigations, a general analysis of the coded system performance, as well as the behavior of the KL-divergence versus transmit energy is provided.
Keywords :
radar clutter; radar detection; KL-divergence; analytical expression; information-theoretic criterion; majorization-minimization technique; multi-static radar code design; nonconvex optimization; peak-to-average-power ratio; receiver operation characteristic; signal-dependent clutter; Clutter; Measurement; Optimization; Radar clutter; Receivers; Vectors; KL-divergence; Majorization-Minimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Conference (EUSIPCO), 2013 Proceedings of the 21st European
Conference_Location :
Marrakech
Type :
conf
Filename :
6811592
Link To Document :
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