@inproceedings{4262ae979f7c4044b8bad8def8136186,
title = "A decision theoretic approach for waveform design in joint radar communications applications",
abstract = "In this paper, we develop a decision theoretic approach for radar waveform design to maximize the joint radar communications performance in spectral coexistence. Specifically, we develop an adaptive waveform design approach by posing the design problem as a partially observable Markov decision process (POMDP), which leads to a hard optimization problem. We extend an approximate dynamic programming approach called nominal belief-state optimization to solve the waveform design problem. We perform a numerical study to compare the performance of the proposed POMDP approach with the commonly used myopic approaches.",
author = "Doly, {Shammi A.} and Alex Chiriyath and Mittelmann, {Hans D.} and Bliss, {Daniel W.} and Shankarachary Ragi",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 54th Asilomar Conference on Signals, Systems and Computers, ACSSC 2020 ; Conference date: 01-11-2020 Through 05-11-2020",
year = "2020",
month = nov,
day = "1",
doi = "10.1109/IEEECONF51394.2020.9443402",
language = "English (US)",
series = "Conference Record - Asilomar Conference on Signals, Systems and Computers",
publisher = "IEEE Computer Society",
pages = "6--11",
editor = "Matthews, {Michael B.}",
booktitle = "Conference Record of the 54th Asilomar Conference on Signals, Systems and Computers, ACSSC 2020",
}