DocumentCode :
2881839
Title :
Performance models for sidelobe constrained signal design with eigen-basis formulation
Author :
Jones, Aaron M. ; Rigling, Brian D. ; Rangaswamy, Muralidhar
Author_Institution :
Sensors Directorate, AFRL: RF Exploitation Branch, Patterson, CA, USA
fYear :
2015
fDate :
10-15 May 2015
Abstract :
Understanding the consequences of applying constraints in arbitrary waveform design can benefit the decision making process of an adaptive system by providing insight into selection of the transmit signal. In this paper, we discuss the role of the integrated sidelobe (ISL) parameter for adaptive radar signal design as it pertains to signal-to-interference-ratio (SINR) performance. We do so by undertaking a design methodology that limits the basis dimension of the waveform while placing a finite energy constraint on the optimal ISL solution. We further extend the analysis by developing performance models for the integrated sidelobe metrics corresponding SINR degradation, from optimal. Included are Monte Carlo simulation trials designed to measure the impact of ISL on SINR.
Keywords :
Monte Carlo methods; adaptive radar; adaptive signal processing; decision making; eigenvalues and eigenfunctions; radar signal processing; Monte Carlo simulation; SINR degradation; adaptive radar signal design; adaptive system; arbitrary waveform design; decision making process; eigen-basis formulation; eigen-vector; finite energy constraint; integrated sidelobe parameter; optimal ISL solution; performance models; sidelobe constrained signal design; signal-to-interference-ratio performance; transmit signal selection; Covariance matrices; Data models; Eigenvalues and eigenfunctions; Interference; Monte Carlo methods; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Conference (RadarCon), 2015 IEEE
Conference_Location :
Arlington, VA
Print_ISBN :
978-1-4799-8231-8
Type :
conf
DOI :
10.1109/RADAR.2015.7131110
Filename :
7131110
Link To Document :
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