A combinatorial optimization framework for subset selection in distributed multiple-radar architectures

Hana Godrich, Athina Petropulu, H. Vincent Poor

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

20 Scopus citations

Abstract

Widely distributed multiple radar architectures offer parameter estimation improvement for target localization. For a large number of radars, the achievable localization minimum estimation mean-square error (MSE), with full resource allocation, may extend beyond the system predetermined performance goals. In this paper, a performance driven resource allocation scheme for multiple radar systems is proposed. The number of transmit and receive radars employed in the estimation process is minimized by effectively selecting a subset of active radars such that the required MSE performance threshold is attained. As the goal is to obtain a performance level with the lowest cost, in terms of active system elements, the problem is formulated in a combinatorial optimization framework as a knapsack problem (KP). The Cramer-Rao bound (CRB) is used as a performance metric. Cost parameters, representing operational cost or any other utilization constraints on the radars, are associated with each of the radars. These are incorporated in the KP formulation, as decision making factors in the selection process. Radar subset selection is implemented through a heuristic algorithm, successively selecting radars that minimize the performance gap between the temporal CRB and a given MSE goal. The proposed algorithm offers considerable reduction in computational complexity when compared with an exhaustive search. By minimizing the number of operational radars needed to complete the task, this concept introduces savings in both communication link needs and central processing load, in addition to the operational ones.

Original languageEnglish (US)
Title of host publication2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings
Pages2796-2799
Number of pages4
DOIs
StatePublished - Aug 18 2011
Event36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Prague, Czech Republic
Duration: May 22 2011May 27 2011

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Other

Other36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011
CountryCzech Republic
CityPrague
Period5/22/115/27/11

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Keywords

  • CRB
  • MIMO radar
  • Multistatic radar
  • resource allocation
  • target localization

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    Godrich, H., Petropulu, A., & Poor, H. V. (2011). A combinatorial optimization framework for subset selection in distributed multiple-radar architectures. In 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings (pp. 2796-2799). [5947065] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). https://doi.org/10.1109/ICASSP.2011.5947065