Research Article
Maxmin Strategy for a Dual Radar and Communication OFDM Waveforms System Facing Uncertainty About the Background Noise
@INPROCEEDINGS{10.1007/978-3-030-05490-8_15, author={Andrey Garnaev and Wade Trappe and Athina Petropulu}, title={Maxmin Strategy for a Dual Radar and Communication OFDM Waveforms System Facing Uncertainty About the Background Noise}, proceedings={Cognitive Radio Oriented Wireless Networks. 13th EAI International Conference, CROWNCOM 2018, Ghent, Belgium, September 18--20, 2018, Proceedings}, proceedings_a={CROWNCOM}, year={2019}, month={1}, keywords={Dual-purpose communication and radar system Maxmin Background noise}, doi={10.1007/978-3-030-05490-8_15} }- Andrey Garnaev
Wade Trappe
Athina Petropulu
Year: 2019
Maxmin Strategy for a Dual Radar and Communication OFDM Waveforms System Facing Uncertainty About the Background Noise
CROWNCOM
Springer
DOI: 10.1007/978-3-030-05490-8_15
Abstract
The paper considers the problem of designing the maxmin strategy for a dual-purpose communication and radar system that employs multicarrier OFDM style waveforms, but faces an uncertain level of background noise. As the payoff for the system, we consider the weighted sum of the communication throughput and the radar’s SINR. The problem is formulated as a zero-sum game between the system and a rival, which may be thought of as the environment or nature. Since the payoff for such a system combines different type of metrics (SINR and throughput), this makes underlying problem associated with jamming such a systems different from the typical jamming problem arising in communication scenarios, where the payoff usually involves only one of these metrics. In this paper, the existence and uniqueness of the equilibrium strategies are proven as well as water-filling equations to design the equilibrium are derived. Finally, using Nash product the optimal value of weights are found to optimize tradeoff of radar and communication objectives.
