학술논문

Waveform Codesign for Radar–Communication Spectral Coexistence via Dynamic Programming
Document Type
Periodical
Source
IEEE Transactions on Aerospace and Electronic Systems IEEE Trans. Aerosp. Electron. Syst. Aerospace and Electronic Systems, IEEE Transactions on. 58(5):4315-4326 Oct, 2022
Subject
Aerospace
Robotics and Control Systems
Signal Processing and Analysis
Communication, Networking and Broadcast Technologies
Radar
Estimation
Radar measurements
Aerodynamics
Optimization
Receivers
Interference cancellation
Language
ISSN
0018-9251
1557-9603
2371-9877
Abstract
In this article, 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.