基于降维预处理的米波MIMO雷达最大似然测高方法OA

The accuracy of height measurement for low-altitude target measured by the meter-wave multiple input multiple output ra-dar can be significantly improved.However,this process is accompanied by a severe challenge of exponential growth in data com-putation,greatly limiting its real-time processing capability and practical application scope.To address this challenge,focusing on the maximum likelihood algorithm a low-altitude target height measurement method is proposed in this paper based on beam domain dimensionality reduction preprocessing from the perspective of beam space formation.Unlike the data domain dimensionality reduc-tion preprocessing algorithm,the beam domain dimensionality reduction preprocessing algorithm can effectively reduce algorithm complexity while maintaining a slight decrease in accuracy,making it more advantageous in practical engineering applications.The simulation results show that the proposed method has strong effectiveness and correctness.Moreover,the algorithm running time is comparable to that of the data domain dimensionality reduction preprocessing algorithm,which further proves that a good balance between performance and efficiency is achieved by the proposed method.Thus,a practical and feasible solution is provided for the practical application of low-altitude target height measurement technology.