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
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