基于自适应神经网络的调频调幅信号预测

线性调频信号在雷达和声纳探测上有着广泛的应用，利用自适应神经网络理论对线性调频信号的预测进行了研究，建立了自适应神经网络预测控制模型．在Matlab里进行了仿真，从图上可以看出，尽管在预测的初始阶段误差较大，但经过一段时间后，误差几乎趋于零．结果表明自适应神经网络能较好地对线性调频信号进行预测．

Chirp Signal Prediction Based on Adaptive Neural Network

The chirp signal has a wide range of applications in radar and Sllnar detection. Tile paper studies the prediction of chirp signal based on adaptive neural network theory, establishes adaptive neural network predictive control model and simulates the results in Matlab. It can be seen from the diagram that although the error is large in the initial stage of prediction, after some time the error almost tends to zero; the results show that the adaptive neural network can predict chirp signal in a relatively good way.