针对非接触式生命体征监测领域尚未有效解决多目标同时监测的关键问题，本项目提出将MIMO雷达理论引入到非接触式生命体征监测技术里，利用不同目标到达角（AOA）的差异完成多目标定位，进而实现多目标生命体征同时监测。项目通过建立MIMO雷达的多目标近场模型，使得MIMO雷达理论适用于非接触式生命体征监测领域；开展基于方向图拟合法的MIMO雷达布阵优化设计，重点解决目前方向图优化仅考虑降低旁瓣而忽略主瓣宽度性能的问题；开展基于遗传算法的MIMO雷达正交波形优化设计，重点解决参数变化导致遗传算法效率低下的问题；开展基于传播算子的MIMO雷达的多目标定位研究，重点考虑基于独立成分分析的多目标生命体征参数联合估计算法设计。本项研究有望突破目前非接触式生命体征监测技术仅能适用于单目标监测的技术局限，同时监测多目标的生命体征，进而推动非接触式生命体征监测技术向临床医学监护方向发展。

Aiming at monitoring multi-target simultaneity in non-contact vital sign monitoring field, MIMO radar theory is introduced into this field. Multi-target localization could be accomplished through utilizing the difference of AOA, so as to realize the multi-target vital signs monitoring at the same time. Firstly, this project makes MIMO radar theory suitable for non-contact vital sign monitoring field through the establishment of MIMO radar multi-target near-field model. Then, we discuss MIMO radar array design problem from the perspective of pattern optimization, taking into account that traditional method only optimize lobe amplitude while ignoring main lobe performances. And then, we carry out the orthogonal waveform optimization design of MIMO radar based on genetic algorithm, taking into account the problem of genetic algorithm inefficient due to parameter variations. Lastly, we study the problem of multi-target localization, focusing on joint estimation algorithm of multi-target vital signs based on independent component analysis. This study is expected to break through the limitation of current non-contact vita sign monitoring technology, and this technology will most likely have an impact on the fields of clinical medical care and family health care.