Information-Theoretic Waveform Design for Gaussian Mixture Radar Target Profiling

Yujie Gu, Nathan A. Goodman

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

An information-theoretic waveform design is proposed for Gaussian mixture radar target profiling by maximizing the mutual information between the measurements and the target signal. During gradient optimization, a bandwidth constraint is enforced by introducing a frequency-domain masking operator. Simulations demonstrate the effectiveness of the proposed waveform design on target profiling.

Original languageEnglish
Article number8534471
Pages (from-to)1528-1536
Number of pages9
JournalIEEE Transactions on Aerospace and Electronic Systems
Volume55
Issue number3
DOIs
StatePublished - Jun 2019
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 1965-2011 IEEE.

Funding

This work was supported in part by the Defense Advanced Research Projects Agency under Grant N66001-10-1-4079.

FundersFunder number
Defense Advanced Research Projects AgencyN66001-10-1-4079

    Keywords

    • Gaussian mixture
    • mutual information
    • target profiling
    • waveform design

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