南京理工大学
国家自然科学基金项目（面上项目，重点项目，重大项目）
Nanjing University of Science and Technology
The National Natural Science Foundation of China (General Program, Key Program, Major Research Plan)
随着智慧海洋的不断发展,海洋研究中海洋信息的可靠获取、高速传输和高效处理越来越重要。为此,考虑一个面向智慧海洋的多输入多输出(Multiple-Input Multiple-Output, MIMO)探测通信一体化系统,在同一平台上共享相同的频谱资源来同时实现水下目标探测与通信。首先,对基于通信信号以及基于通信和探测信号叠加的两种一体化波形构成方法进行研究,在满足总功率及通信用户信干噪比需求的约束下,最小化MIMO探测发射波束图匹配误差和互相关图。然后,针对建立的两种波束成形设计问题,将其转化为二次半定规划问题并采用半正定松弛算法进行求解,得到探测通信一体化波束成形矩阵。最后,仿真结果验证了MIMO探测通信一体化波束成形设计的可行性。
With the continued development of smart ocean, reliable acquisition, high-speed transmission and efficient processing of ocean information are becoming increasingly important in ocean research. Therefore, we consider a MIMO integrated detection and communication system for smart ocean, which shares the same spectrum resources on the same platform to simultaneously realize underwater target detection and communication. Firstly, we investigate two integrated waveform composition methods: communication signals, the superposition of communication and probing signals. We minimize the MIMO probe transmit beampattern matching error and cross-correlation of transmit beampattern under the constraints of the total power and communication user"s signal to interference plus noise ratio requirements. Then, for the two established beamforming design problems, they are transformed into quadratic semidefinite programming problems and solved applying semidefinite relaxation algorithm to obtain the beamforming matrix of integrated detection and communication. Finally, simulation results verify the feasibility of the beamforming design for MIMO integrated detection and communication.
