Waveform codesign for radar-communications spectral coexistence via dynamic programming

Shammi Doly, Alex R. Chiriyath, Hans Mittelmann, Dan Bliss, Shankarachary Ragi

Research output: Contribution to journalArticlepeer-review

Abstract

We develop a new waveform codesign approach for radar-communications spectral coexistence using a decision-theoretic framework called partially observable Markov decision process (POMDP). The POMDP framework's natural look-ahead feature allows us to trade-off short-term for long-term performance, which is necessary in waveform codesign problems with competing objectives and dynamic user needs. As POMDPs are computationally intractable, we extend two approximation methods called nominal belief-state optimization and random-sampling multipath hypothesis propagation to make the codesign approaches tractable.

Original languageEnglish (US)
JournalIEEE Transactions on Aerospace and Electronic Systems
DOIs
StateAccepted/In press - 2022

Keywords

  • Aerodynamics
  • Estimation
  • Interference cancellation
  • Optimization
  • Radar
  • Radar measurements
  • Receivers

ASJC Scopus subject areas

  • Aerospace Engineering
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Waveform codesign for radar-communications spectral coexistence via dynamic programming'. Together they form a unique fingerprint.

Cite this