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A Frequency Hopping Sequence Prediction Method Based on Optimal Wavelet Neural Network

A wavelet neural network and frequency hopping sequence technology, applied in biological neural network models, neural architectures, data exchange networks, etc., can solve the problem that the initial value of wavelet translation factor cannot be adaptively determined for the number of hidden layer nodes, and it is not universal and effective. algorithm and other problems to achieve the effect of speeding up the learning speed and prediction speed, shortening the running time and reducing the complexity

Active Publication Date: 2019-11-22
UNIV OF SCI & TECH BEIJING
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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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  • A Frequency Hopping Sequence Prediction Method Based on Optimal Wavelet Neural Network
  • A Frequency Hopping Sequence Prediction Method Based on Optimal Wavelet Neural Network
  • A Frequency Hopping Sequence Prediction Method Based on Optimal Wavelet Neural Network

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Embodiment 1

[0098] In step 1, the time domain analysis adopts the combined spectrum method:

[0099] Step 1.1: Sampling the received frequency hopping signal to obtain a sequence x(n) of length N, find the corresponding analytical signal Z(n), and perform time-frequency analysis on Z(n) by the combined spectrogram method; the combined spectrogram The same signal is analyzed twice by using the wide window function and the narrow window function, respectively, and two sets of results with high frequency resolution and high time resolution are obtained. Time-frequency analysis results with good time-frequency focus.

[0100] Step 1.2: After the signal is processed by the combined spectrogram method, its energy distribution is concentrated at the instantaneous frequency. Therefore, in each frequency hopping period, the frequency corresponding to the maximum value of the signal energy amplitude is the frequency hopping frequency in this period; using the obtained frequency hopping period T h...

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Abstract

The invention discloses a frequency hopping sequence prediction method based on an optimized wavelet neural network, which belongs to the field of frequency hopping sequence prediction methods; it includes step 1: performing time domain analysis on the frequency hopping signal to obtain the frequency hopping sequence at the current moment; step 2 : Preprocess the frequency hopping sequence to obtain training samples and test samples; Step 3: Input the training samples into the initialized neural network to perform DBSCAN clustering calculation and weight optimization in order to complete the training; Step 4: Input the test samples into the network to complete the training The neural network predicts and obtains the frequency hopping sequence at the next moment; the present invention solves the problem that when the wavelet neural network is used to predict different frequency hopping sequences, there is no general and effective algorithm in the network training process, resulting in the inability to adaptively determine The problem of the number of hidden layer nodes and the initial value of the wavelet translation factor improves the prediction accuracy of the same hidden layer node network, speeds up the subsequent learning speed of the network, and shortens the running time of the program.

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 is a way of spread spectrum communication, it is a "multi-frequency, code selection, frequency shift keying" system, which 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 civil mobile communication. The prediction research of frequency hopping sequence can not only realize the aligned interference to the frequency hopping signal, reduce the power consumption cost, but also play a crucial role in the improvement of the blind reception performance of the frequency hopping signal; therefore, the estimation of the frequency hopping sequence The research of the method...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04B1/713G06N3/04H04L12/24H04B1/715
CPCH04B1/713H04L41/147G06N3/045
Inventor 陈媛张竞文阳小龙孙奇福
Owner UNIV OF SCI & TECH BEIJING
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