Adaptive design for distributed MIMO radar using sparse modeling

Sandeep Gogineni, Arye Nehorai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

Multiple Input Multiple Output (MIMO) radar systems with widely separated antennas provide spatial diversity gain by viewing the targets from different angles. In this paper, we propose an approach to accurately estimate the properties (position, velocity) of multiple targets using such systems by employing sparse modeling. We also propose a new metric to analyze the performance of the radar system. We develop an adaptive mechanism for optimal energy allocation at different transmitters. We show that this adaptive mechanism outperforms MIMO radar systems that transmit fixed equal energy across all the antennas.

Original languageEnglish
Title of host publication2010 International Waveform Diversity and Design Conference, WDD 2010
Pages23-27
Number of pages5
DOIs
StatePublished - 2010
Event2010 5th International Waveform Diversity and Design Conference, WDD 2010 - Niagara Falls, ON, Canada
Duration: Aug 8 2010Aug 13 2010

Publication series

Name2010 International Waveform Diversity and Design Conference, WDD 2010

Conference

Conference2010 5th International Waveform Diversity and Design Conference, WDD 2010
Country/TerritoryCanada
CityNiagara Falls, ON
Period08/8/1008/13/10

Keywords

  • Adaptive
  • Multiple Input Multiple Output (MIMO) radar
  • Multiple targets
  • Sparse modeling
  • Widely separated antennas

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