In this paper, we develop a joint radar-communication system with offset quadrature amplitude modulation based orthogonal frequency division multiplexing (OQAM-OFDM), which is capable of realizing the radar and communication functions simultaneously. We first introduce a unified received signal model for the radar and communication systems by taking the multipath effect into account. Then, we propose a method to achieve information demodulation and radar pulse compression at the same time. By analyzing the signal-to-noise ratio (SNR) for the radar operations and the communication individually, we solve an optimization model to maximize the radar SNR and the communication SNR by designing the transmitted sequence of the OQAM-OFDM. Since the optimization problem is NP-hard, we present a joint method involving both the cyclic algorithm and the alternating direction method of multipliers algorithm (CA-ADMM) to obtain a solution. Finally, numerical results verify superior performance of the proposed scheme.
Bibliographical noteFunding Information:
This work was supported in part by the National Natural Science Foundation of China under Grant 61971109, in part by the Chang Jiang Scholars Program, the GF Science and Technology Special Innovation Zone Project, in part by the Fundamental Research Funds of Central Universities under Grant ZYGX2020ZB031, and in part by the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (MSIT), Korea Government under Grants 2017R1A2B3012316.
- Cyclic algorithm and the alternating direction method of multipliers algorithm (CA-ADMM)
- Information demodulation
- Offset quadrature amplitude modulation based orthogonal frequency division multiplexing (OQAM-OFDM)
- Pulse compression
- Radar-communication system
- Signal-to-noise ratio (SNR)
ASJC Scopus subject areas
- Control and Systems Engineering
- Signal Processing
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering