MMSE Adaptive Waveform Design for a MIMO Active Sensing System Tracking Multiple Moving Targets

Steven Herbert, James Hopgood, Bernard Mulgrew

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

Abstract / Description of output

This paper proposes a method for minimum mean squared error (MMSE) adaptive waveform design (AWD) in multiple-input-multiple-output (MIMO) active sensing systems which are used to track moving targets. The method proposed herein prompts two computational improvements compared to a related method for static targets. Consideration of moving targets also introduces the possibility of ‘model mismatch’ between the actual motion of the targets, and the model available to the MMSE AWD system. Results show that the proposed method leads to an improvement in mean squared error performance of up to 29% compared to the non-adaptive case.
Original languageEnglish
Title of host publicationIEEE International Conference on Acoustics, Speech and Signal Processing
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Publication statusAccepted/In press - 15 Apr 2018

Keywords / Materials (for Non-textual outputs)

  • Adaptive waveform design
  • optimal design
  • MMSE
  • MIMO
  • active sensing

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