一种交通微波测距雷达对车辆分形的方法

Method of Vehicle Fractal with Microwave Range Radar Applied to Traffic

针对交通微波测距雷达对车辆分形困难的问题,提出了先进行轨迹空间重构,并根据重构的空间分解出两个最大特征向量,从而构成最大主元平面。将回波信号映射到最大主元平面上,根据影射图像,采用了盒子维的处理方式,最后找到不同目标回波之间的差异,对不同目标进行分形。通过Matlab仿真证明,本文分形方法有效解决了交通微波测距雷达分形困难的问题,有很强的市场应用前景。

Since the microwave range radar is difficult to deal with vehicle fractal,the dissertation advances a scheme to solve the problem.In the solution,the trace space reconstruction is carried out first,then two maximum feature vectors are resolved according to the reconstructed trace space and the largest master plane is constituted.The echo signal is mapped onto the largest master plane.The box-dimension processing method is adopted according to the mapped image on the largest master plane to find the differences between different target echo to perform the fractal of different targets.The Matlab simulation proves that the fractal method is valid for solving the problem that the microwave range radar is difficult to conduct the target fractal,and the method has a wide application prospect.