Resource allocation in radar networks for non-coherent localization

Nil Garcia, Martial Coulon, Marco Lops, Alex M. Haimovich

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Scopus citations

Abstract

Waveforms transmitted by the elements of a MIMO radar system may differ in power and bandwidth. This raises the question of optimal resource allocation among the radar elements. Specifically, we are asking, given constrained resources, what is the optimal bandwidth and optimal joint power and bandwidth allocation for best target localization performance. Using the Cramér-Rao Lower Bound (CRLB) as the figure of merit for localization accuracy, the resource allocation optimization problem turns out to be non-convex. We apply a Difference of Convex functions programming approach to develop quasi-optimal algorithms for solving the resource allocation problems. A lower bound is also developed to help assess the quality of our solutions. Numerical examples demonstrate that bandwidth allocation has considerably more impact on performance than power allocation, and that the best performance is obtained with joint power and bandwidth allocation.

Original languageEnglish (US)
Title of host publicationIET International Conference on Radar Systems, Radar 2012
Edition603 CP
DOIs
StatePublished - Dec 1 2012
EventIET International Conference on Radar Systems, Radar 2012 - Glasgow, United Kingdom
Duration: Oct 22 2012Oct 25 2012

Publication series

NameIET Conference Publications
Number603 CP
Volume2012

Other

OtherIET International Conference on Radar Systems, Radar 2012
CountryUnited Kingdom
CityGlasgow
Period10/22/1210/25/12

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Keywords

  • CRLB
  • MIMO radar
  • Resource allocation

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