Robust OFDM integrated radar and communications waveform design based on information theory
Yongjun Liu, Guisheng Liao, and Zhiwei Yang

TL;DR
This paper proposes a robust OFDM waveform design for integrated radar and communications systems that maximizes data rate and target information under channel uncertainties, ensuring reliable performance.
Contribution
It introduces a minimax optimization framework for designing OFDM waveforms that are robust against frequency response uncertainties in integrated radar and communications systems.
Findings
The proposed design improves target classification and data rate performance.
Numerical results validate the robustness and effectiveness of the waveform.
Closed-form solutions facilitate practical implementation.
Abstract
An integrated radar and communications system (IRCS) where a monostatic radar transceiver is employed for target classification while simultaneously used as a communications transmitter is considered. The radar combined propagation-target response (joint response of the radar propagation channel and target) and communications channel response are generally frequency selective but the corresponding frequency response functions are not exactly known. In particular, these frequency response functions are only known to lie in an uncertainty class. To ensure the IRCS simultaneously provides acceptable target classification performance and communications rate, a robust orthogonal frequency division multiplexing (OFDM) integrated radar and communications waveform (IRCW) design method is proposed. The approach finds a waveform that simultaneously provides a sufficiently large weighted sum of…
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