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

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

Original languageEnglish
Title of host publicationIEEE International Conference on Acoustics, Speech and Signal Processing
PublisherIEEE
StateAccepted/In press - 15 Apr 2018

Abstract

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.

    Research areas

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

ID: 52102014