ICASSP 2016accepted0 citations
Iterative quadratic relaxation method for optimization of multiple radar waveforms
Tuomas Aittomäki, Visa Koivunen
Abstract
MIMO radars use multiple waveforms in order to resolve more targets and achieve gains in target detection, parameter estimation and recognition, for example. In this paper, we propose a method for optimizing multiple waveforms with low peak sidelobe and peak cross-correlation levels for MIMO radar. The optimization method relaxes the original quartic problem into a quadratic one and iterates the relaxed problem to improve the solution. The numerical examples demonstrate that good waveforms are obtained with the proposed method.
BibTeX
@inproceedings{icassp2016_iterativequadrat,
title = {Iterative quadratic relaxation method for optimization of multiple radar waveforms},
author = {Tuomas Aittomäki and Visa Koivunen},
booktitle = {ICASSP 2016},
year = {2016}
}