Performance Analysis of Data Transmission for Joint Radar and Communication Systems

Author:

Lu Jianhua12ORCID,Tian Tuanwei1,Tang Yanli1,Tang Bin1ORCID

Affiliation:

1. School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China

2. School of Air Operations and Services, Aviation University of Air Force, Changchun 130022, China

Abstract

This paper investigates the problem of data transmission for the joint radar and communication systems (JRCSs). The performance of the JRCS is characterized by data throughput related to the radar echo data (RED) and communication data rate (CDR). Two spectral coexistence schemes are proposed based on the degree of spectrum sharing for radar and communication, i.e., the isolated subfrequency band (ISFB) and mix-used frequency band (MUFB) schemes. Firstly, the signals of radar and communication are operated on the isolated subcarriers, enabling the received signals to be processed independently and bringing the advantage of interference avoidance. Secondly, the signals of radar and communication can be jointly operated on the same subcarriers for the MUFB scheme, which enhances the spectrum efficiency. Unlike the ISFB scheme, the CDR of the MUFB scheme is maximized along with the interference from the radar signal, and meanwhile, the allocated radar power on each subcarrier is derived by maximizing the radar mutual information. Numerical results show that the MUFB scheme significantly improves the performance of data transmission over the ISFB scheme, and a significant performance gain in the data transmission can be achieved, compared to the average power allocation case.

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Integrated Sensing and Communication in Distributed Antenna Networks;2023 IEEE International Conference on Communications Workshops (ICC Workshops);2023-05-28

2. Related Problems of Coverage and Interference Coexistence in Rail Transit Communication System;2022 International Conference on Knowledge Engineering and Communication Systems (ICKES);2022-12-28

3. Data Recovery Technology Based on Subspace Clustering;Scientific Programming;2022-07-20

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