分辨率约束下毫米波雷达波形参数及接收权联合设计

针对自动驾驶中有限平台空间及发射功率导致毫米波雷达目标检测性能较低的问题，该文提出一种距离及速度分辨率约束下提升毫米波雷达目标检测概率的波形参数及接收权联合设计方法。首先，基于调频连续波(FMCW)信号，所提方法建立了毫米波相控阵阵列检测模型；其次，通过分析距离及速度分辨率与发射波形参数关系，构建考虑距离及速度分辨率的发射波形参数约束；然后，基于最大化输出信杂噪比(SCNR)准则，建立具有距离及速度分辨率约束的发射波形参数及接收权值联合优化模型以改善毫米波雷达目标检测及距离速度分辨性能；最后，所提方法基于交替迭代方法求解所得复杂非线性优化问题。仿真结果表明，所提方法可自适应调整发射波形参数和接收权以提升目标检测性能同时满足距离及速度分辨率需求。

Joint Design of Millimeter-wave Radar Waveform Parameters and Receiving Weight under Resolution Constraints

Considering the issue of poor target detection performance of millimeter-wave radar caused by the limited platform space and transmitting power in the case of autonomous driving, a joint design approach of waveform parameters and receiving weight is developed in this paper to improve the target detection probability of millimeter wave radar with range and velocity resolution constraints. Firstly, based on the Frequency Modulated Continuous Wave (FMCW) signal, the millimeter-wave phased array detection model is established via the proposed method; Secondly, the constraints of the transmitting waveform parameters concerning the range and velocity resolution are constructed by analyzing the relationship between the range along with speed resolution and the transmitting waveform parameters; After that, based on the criterion of maximizing the output Signal to Clutter plus Noise Ratio (SCNR), a joint optimization model of transmitting waveform parameters and receiving weight with range and velocity resolution constraints is established to improve the target detection and range-velocity resolution performance of millimeter wave radar; Finally, based on the alternate iteration method, the resultant complex nonlinear optimization problem can be solved via the developed approach. Simulation results show that the proposed method can adaptively adjust the transmitting waveform parameters and receiving weight to improve the target detection performance with satisfying the requirements of range and speed resolution.