Resource allocation for target detection in distributed MIMO radars

Tuomas Aittomäki, Hana Godrich, H. Vincent Poor, Visa Koivunen

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

10 Scopus citations

Abstract

A distributed multiple-input multiple-output (MIMO) radars using transmitters and receivers distributed over a large area can offer improved target detection, estimation, and tracking capabilities. In order to achieve best performance, it is necessary that the use of resources is optimized in such a radar system. In this paper, we consider the optimization of the transmit power of the transmitters for the purpose of target detection. We derive the optimal Neyman-Pearson detector without assuming whiteness of noise or independence of scattering and formulate the problem of optimizing the probability of detecting targets in an area of surveillance. Numerical examples are provided to demonstrate the effectiveness of the method.

Original languageEnglish (US)
Title of host publicationConference Record of the 45th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2011
Pages873-877
Number of pages5
DOIs
StatePublished - 2011
Event45th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2011 - Pacific Grove, CA, United States
Duration: Nov 6 2011Nov 9 2011

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393

Other

Other45th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2011
Country/TerritoryUnited States
CityPacific Grove, CA
Period11/6/1111/9/11

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Computer Networks and Communications

Keywords

  • Likelihood ratio test
  • MIMO radar
  • Power allocation
  • Target detection

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