Adaptive waveform design for colocated MIMO radar using sparse modeling

Sandeep Gogineni, Arye Nehorai

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

4 Scopus citations

Abstract

We consider the problem of multiple target estimation using a colocated Multiple Input Multiple Output (MIMO) radar system. We employ sparse modeling to estimate the unknown target parameters (delay, Doppler) using a MIMO radar system that transmits frequency-hopping waveforms. Further, we use the estimates of the target RCS values to adaptively design the amplitudes of the transmit waveforms during each hopping interval. We demonstrate the performance improvement using numerical examples.

Original languageEnglish
Title of host publication2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2011
Pages13-16
Number of pages4
DOIs
StatePublished - 2011
Event2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2011 - San Juan, Puerto Rico
Duration: Dec 13 2011Dec 16 2011

Publication series

Name2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2011

Conference

Conference2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2011
Country/TerritoryPuerto Rico
CitySan Juan
Period12/13/1112/16/11

Keywords

  • adaptive
  • colocated
  • Frequency-hopping codes
  • MIMO radar
  • multiple targets
  • optimal design
  • sparse modeling

Fingerprint

Dive into the research topics of 'Adaptive waveform design for colocated MIMO radar using sparse modeling'. Together they form a unique fingerprint.

Cite this