Waveform-agile sensing for range and DoA estimation in MIMO radars

Bhavana B. Manjunath, Jun Jason Zhang, Antonia Papandreou-Suppappola, Darryl Morrell

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

6 Scopus citations

Abstract

We propose an agile sensing algorithm to optimally select the transmission waveform of a multiple-input, multiple-output (MIMO) radar system in order to improve target localization. Specifically, we first derive the Cramèr-Rao lower bound (CRLB) for the joint estimation of the antenna reflection coefficients and the range and direction-of-arrival of a stationary target using MIMO radar with colocated antennas. The resulting CRLB, that is a function of the transmitted waveform, is then compared to the estimation performance of a maximum-likelihood estimator. We configure waveform parameters to minimize the trace of the predicted error covariance by assuming that the covariance of the observation noise is approximated by the CRLB for high signal-to-noise ratios. In particular, we optimally select the duration and phase function parameters of generalized frequency-modulated chirps to minimize the estimation mean-squared error under constraints of fixed transmission energy and constant time-bandwidth product.

Original languageEnglish (US)
Title of host publication2009 International Waveform Diversity and Design Conference Proceedings, WDD 2009
Pages145-149
Number of pages5
DOIs
StatePublished - 2009
Event2009 International Waveform Diversity and Design Conference, WDD 2009 - Kissimmee, FL, United States
Duration: Feb 8 2009Feb 13 2009

Publication series

Name2009 International Waveform Diversity and Design Conference Proceedings, WDD 2009

Other

Other2009 International Waveform Diversity and Design Conference, WDD 2009
Country/TerritoryUnited States
CityKissimmee, FL
Period2/8/092/13/09

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Electrical and Electronic Engineering
  • Communication

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