A frequency hopping sequence prediction method based on optimized wavelet neural network

Abstract

The invention discloses a frequency hopping sequence prediction method based on an optimized wavelet neural network, belonging to the frequency hopping sequence prediction method field. 1, performingtime domain analysis on frequency hopping signal to obtain the frequency hopping sequence at the current time; 2, preprocessing frequency hopping sequence to obtain a training sample and a test sample; 3, inputting training sample into the initialized neural network to carry out DBSCAN clustering calculation and weight optimization sequentially to complete the training; 4, inputting test sample into a trained neural network for prediction, and obtaining a frequency hopping sequence at the next time; The invention solves the problem that when the wavelet neural network is used for predicting different frequency hopping sequences, there is no universal and effective algorithm in the network training process, which leads to the problem that the number of hidden layer nodes and the initial value of wavelet translation factor can not be determined adaptively. The prediction accuracy of the same hidden layer node network is improved, the subsequent learning speed of the network is accelerated, and the running time of the program is shortened.

Description

technical field [0001] The invention belongs to the field of frequency hopping sequence prediction methods, in particular to a frequency hopping sequence prediction method based on an optimized wavelet neural network. Background technique [0002] Frequency hopping communication belongs to a method of spread spectrum communication. It is a "multi-frequency, code selection, and frequency shift keying" system. It has the characteristics of flexibility, large multi-access capacity, high frequency band utilization and strong anti-interference ability. It is widely used in military communication and civilian mobile communication. The research on the prediction of frequency hopping sequences can not only realize the alignment interference of frequency hopping signals, reduce the cost of power consumption, but also play a vital role in improving the blind reception performance of frequency hopping signals; therefore, the estimation of frequency hopping sequences The research on th...

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Problems solved by technology

[0004] The object of the present invention is: the present invention provides a kind of frequency hopping sequence prediction method based on optimized wavelet neural network, solves when using wavelet neural network to predict different frequency hopping sequences at present, because there is no common and effective method in the network training process. algorithm, resulting in the problem that the number of nodes in the hidden layer and the initial value of the wavelet translation factor cannot be determined adaptively

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