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Low Probability of Intercept-Based Optimal OFDM Waveform Design Strategy for an Integrated Radar and Communications System

Shi, Chenguang; Wang, Fei; Salous, Sana; Zhou, Jianjiang

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Authors

Chenguang Shi

Fei Wang

Jianjiang Zhou



Abstract

The integration of radar and communications systems can provide great advantages, such as enhanced efficiency, structure simplification, less occupied hardware resources, and interference mitigation, compared with traditional individual radar and communications applications. Extensive studies have presented achieving improved system performance, whereas the problem of low probability of intercept (LPI)-based waveform design for the integrated system is seldom discussed in the literature. In this paper, an LPI-based optimal orthogonal frequency multiplexing modulation (OFDM) waveform design strategy is developed for an integrated radar and communications system (IRCS). The dedicated transmitter in this system transmits integrated OFDM waveform for simultaneously target parameter estimation and downlink communications. The basis of the underlying strategy is to employ the optimization technique to design the integrated OFDM waveform of IRCS in order to minimize the total radiated power, while satisfying the specified requirements of target parameter estimation and data information rate. We analytically show that the resulting optimization problem is convex and can be solved by formulating the Karush–Kuhn–Tuckers optimality conditions. Numerical simulation results demonstrate that our proposed strategy can solve the waveform design problem in the IRCS with low complexity, and the LPI performance of the IRCS can efficiently be enhanced by utilizing the proposed integrated OFDM waveform design strategy.

Citation

Shi, C., Wang, F., Salous, S., & Zhou, J. (2018). Low Probability of Intercept-Based Optimal OFDM Waveform Design Strategy for an Integrated Radar and Communications System. IEEE Access, 6, 57689-57699. https://doi.org/10.1109/access.2018.2874007

Journal Article Type Article
Acceptance Date Oct 1, 2018
Online Publication Date Oct 5, 2018
Publication Date Oct 5, 2018
Deposit Date Nov 8, 2018
Publicly Available Date Nov 8, 2018
Journal IEEE Access
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Volume 6
Pages 57689-57699
DOI https://doi.org/10.1109/access.2018.2874007

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