Performance optimization of RIS assisted dual-function radar and covert communication system

doi:10.3785/j.issn.1008-973X.2023.12.020

Journal of ZheJiang University (Engineering Science)

2023, Vol. 57

Issue (12): 2533-2543 DOI: 10.3785/j.issn.1008-973X.2023.12.020

Performance optimization of RIS assisted dual-function radar and covert communication system

Lang-tao HU1(

),Rui YANG1,Chong-wen HUANG2,*(

),Quan-jin LIU1,Lei WU1,Zhen-kun TAN1

1. School of Electronic Engineering and Intelligent Manufacturing, Anqing Normal University, Anqing 246133, China
2. College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310058, China

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Abstract

A multi strategy alternating optimization (MSAO) algorithm was proposed for covert transmission of the reconfigurable intelligence surface (RIS) assisted dual-function radar and communication (DFRC) system. Under the conditions of covert constraints, radar constant modulus constraints and total power constraints, the communication beamforming vector, radar signal covariance matrix and RIS phase shift matrix were jointly designed to maximize the legitimate user Bob’ s covert communication rate and probing power at target, in order to achieve a tradeoff between covert communication and radar sensing. In both the perfect and imperfect Willie’ s channel state information scenarios, the simulation results show that deploying RIS in a generalized fully connected mode can better transmit beamforming maps, increase the upper limit of Bob’ s covert communication rate, expand the achievable range of rates, and achieve greater freedom in communication and sensing functions compared to traditional single connected RIS and systems without RIS deployment.

Key words： beamforming design covert communication dual-function radar and communication (DFRC) reconfigurable intelligence surface (RIS) generalized fully connected RIS

Received: 13 March 2023 Published: 27 December 2023

CLC:

TN 929.5

Fund: 国家重点研发计划资助项目(2021YFA1000500)；国家自然科学基金资助项目(62101492)；浙江省杰出青年基金资助项目(LR22F010002)

Corresponding Authors: Chong-wen HUANG E-mail: 122634998@qq.com;chongwenhuang@zju.edu.cn

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Cite this article:

Lang-tao HU,Rui YANG,Chong-wen HUANG,Quan-jin LIU,Lei WU,Zhen-kun TAN. Performance optimization of RIS assisted dual-function radar and covert communication system. Journal of ZheJiang University (Engineering Science), 2023, 57(12): 2533-2543.

URL:

https://www.zjujournals.com/eng/10.3785/j.issn.1008-973X.2023.12.020 OR https://www.zjujournals.com/eng/Y2023/V57/I12/2533

RIS辅助双功能雷达与隐蔽通信系统性能优化

针对智能超表面(RIS)辅助双功能雷达与通信(DFRC)系统的隐蔽传输问题，提出多策略交替优化(MSAO)算法. 在隐蔽约束、雷达恒模约束和总功率约束的条件下，通过联合设计通信波束赋形向量、雷达信号协方差矩阵和RIS相位偏转矩阵，最大化合法用户Bob的隐蔽通信速率和目标探测功率，实现隐蔽通信和雷达感知功能的折中. 在完美Willie信道状态信息和不完美Willie信道状态信息场景下，仿真结果表明，相对于传统单连接RIS和没有部署RIS系统，采用广义全连接模式部署RIS可以更好地传输波束方向图，提高Bob隐蔽通信速率上限，扩大可实现速率的范围，实现通信和感知功能更大的自由度.

关键词： 波束赋形设计, 隐蔽通信, 双功能雷达与通信(DFRC), 智能超表面(RIS), 广义全连接RIS

Fig.1 RIS-assisted DFRC covert communication system model

Tab.1 Simulation parameters setting of RIS assisted DFRC covert communication system

Fig.2 Convergence of multi strategy alternating optimization algorithm

Fig.3 Comparison of beam pattern in two Willie’s scenarios

Fig.4 Tradeoff between probing power at target and Bob’s covert rate in two Willie’s scenarios

Fig.5 Effect of number of reflective elements of RIS on beam pattern

Fig.6 Effect of RIS horizontal deployment location on beam patterns

Fig.7 Relationship between covertness threshold and Bob’s covert rate

Fig.8 Relationship between covertness threshold and probability of detection error


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