【摘要】 针对双功能雷达通信（Dual-Functional Radar-Communication,DFRC）系统中雷达峰均比（Peak-to-Average Power Ratio,PAPR）导致的通信误码率高及通信信号的调制方式导致的雷达分辨率降低的问题，在总功率和PAPR约束下对下行链路多用户通信与目标探测的双功能雷达通信一体化波形设计进行了简要介绍。首先，以总功率与PAPR为约束条件，以多用户干扰（Multi-User Interference,MUI）能量与雷达波形相似度加权和为目标函数，并引入加权因子ρ动态调整通信雷达性能偏好。其次，采用标准交替方向乘子（Alternating Direction Multiplier Method,ADMM）算法，并引入增广拉格朗日函数，通过变量分裂实现优化求解。最后，对所提方法的通信误码率和雷达分辨率等性能进行了仿真。结果表明，所提方法相较于传统方法实现了动态场景下通信和速率的提升，且与恒模约束相比和速率增幅达4.5%，雷达探测概率在低信噪比时达到0.8以上，并最终趋于稳定值1。更多还原

【Abstract】 To address the issues of high communication bit error rate rates caused by the radar’s PAPR(Peak-to-Average Power Ratio) and reduced radar resolution due to the modulation mode of the communication signal in DFRC(Dual-Functional Radar-Communication) system, the modulation mode of communication signals leads to the problem of reduced radar resolution, under constraints of total power and PAPR, a brief introduction is made to the integrated waveform design of dual-functional radar-communication for downlink multi-user communication and target detection. First, taking the total power and PAPR as constraint conditions, and the weighted sum of the similarity between the energy of MUI(Multi-User Interference) and the radar waveform as the objective function, a weighting factor ρ is introduced to dynamically adjust the performance preference of the communication radar. Then, the standard ADMM(Alternating Direction Multiplier Method) algorithm is adopted, and the augmented Lagrange function is introduced to achieve the optimization solution through variable splitting. Finally, the performance of the proposed method, such as the communication bit error rate and radar resolution, is simulated. The results indicate that the proposed method achieves the improvement of communication sum rate in dynamic scenes compared with conventional methods. Moreover, compared to constant modulus constraints, the sum rate increases by 4.5%, with the radar detection probability reaches above 0.8 at a low signal-to-noise ratio and eventually tends to a stable value of 1.更多还原