The Simulation of One-dimensional Range Profile Recognition Based on Mahalanobis Distance

For Euclidean distance ignoring data distribution tendency,this paper presents a new method of target recognition based on Mahalanobis distance in millimeter wave radar(MMW).The Mahalanobis distance takes the magnitude and relativity of pattern character into account,and has a better performance than Euclidean distance.Using IFFT Transform to MMW target echo,one-dimensional range profile was obtained.Then,the primary component analysis(PCA) was analyzed for noise-reduction and feature extraction.At last,the min-mahalanobis distance was used for recognition.Experimental results on both Euclidean distance and Mahalanobis distance show that the later method has a better performance.Simulation on different Signal-to-Noise Rate(SNR) shows weighted Mahalanobis distance method is the same with MMW target recognition.