Adaptive compressive sensing and processing for radar tracking

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

Abstract

Compressive sensing and processing of radar waveforms enables high-resolution tracking while using low sampling rates and inexpensive processing. Compressive processing, however, introduces an additional estimation error, especially when the compressive sensing process is agnostic to the received waveform characteristics. In this work, an adaptive compressive sensing and processing scheme is applied to the radar tracking problem. The adaptive scheme naturally incorporates sequentially updated information on target state that is readily available from a particle filter based tracker. The proposed method is shown to improve tracking performance compared to a non-adaptive scheme, while maintaining a low-sampling rate and a computationally inexpensive operation.

Original languageEnglish
Title of host publication2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings
Pages3888-3891
Number of pages4
DOIs
Publication statusPublished - 2011
Event36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Prague, Czech Republic
Duration: 22 May 201127 May 2011

Other

Other36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011
Country/TerritoryCzech Republic
CityPrague
Period22/05/1127/05/11

Keywords

  • Compressive sensing and processing
  • particle filtering
  • radar tracking

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