Resource allocation schemes for target localization in distributed multiple radar architectures

Hana Godrich, Athina Petropulu, H. Vincent Poor

Research output: Contribution to journalConference articlepeer-review

9 Scopus citations


In this paper, two resource allocation schemes for multiple radar systems are proposed. The first approach fully utilizes all available infrastructure in the localization process, i.e., all transmit and receive radars, while minimizing the total transmit energy. The power allocation among the transmit radars is optimized such that a predefined estimation mean-square error (MSE) objective is met, while keeping the transmitted power at each station within an acceptable range. The second scheme minimizes the number of transmit and receive radars employed in the estimation process by effectively choosing a subset of radars such that the required MSE performance threshold is attained. In the latter, the transmit antennas are assumed to fully utilize the admissible power range. The Cramer-Rao bound (CRB), which is known to be asymptotically tight to the maximum likelihood estimator (MLE) MSE at high signal-to-noise ratio (SNR), is used as an optimization metric for the estimation MSE. Subset selection is implemented through a heuristic algorithm, offering reduced computational cost compared with an exhaustive search.

Original languageEnglish (US)
Pages (from-to)1239-1243
Number of pages5
JournalEuropean Signal Processing Conference
StatePublished - 2010
Event18th European Signal Processing Conference, EUSIPCO 2010 - Aalborg, Denmark
Duration: Aug 23 2010Aug 27 2010

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering


  • CRB
  • Convex optimization
  • MIMO radar
  • Multistatic radar
  • Power allocation
  • Target localization


Dive into the research topics of 'Resource allocation schemes for target localization in distributed multiple radar architectures'. Together they form a unique fingerprint.

Cite this