An Artificial Neural Network Algorithm for Signal Processing of Car Collision Avoidance Radar
一种人工神经网络算法在汽车防撞雷达中的应用

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 theoreti- cal limit of FFT method and other popular algorithms and its SNR threshold is lower.