An Artificial Neural Network Algorithm for Signal Processing of Car Collision Avoidance Radar
DU Xiao-dan · Jisuanji yingyong yanjiu · 2005
An artificial neural network method for signal processing of car collision avoidance radar is proposed.It is based on decomposition of auto-correlation matrix.And then decomposition problem is mapped into an iterative one by transforming the energy function of the Hopfield neural network.Simulation results show that this method has higher resolution than the theoretical limit of FFT method and other popular algorithms and its SNR threshold is lower.