Blind equalization method for wavelet neural network based on space diversity

A technology of wavelet neural network and space diversity, applied to the shaping network in the transmitter/receiver, preventing/detecting errors through diversity reception, baseband system components, etc., can solve the problem of wasting bandwidth resources, etc.

Inactive Publication Date: 2013-01-02
NANJING UNIV OF INFORMATION SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Traditional equalization techniques need to periodically send training sequences, which wastes limited bandwidth resources. Blind equalization techniques that do not need to send known training sequences can save bandwidth and improve communication efficiency.

Method used

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  • Blind equalization method for wavelet neural network based on space diversity
  • Blind equalization method for wavelet neural network based on space diversity
  • Blind equalization method for wavelet neural network based on space diversity

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0102] Figure 4 Simulation result shows, the convergence speed of the inventive method SDE-WNN will be faster than WNN1 and WNN2, as can be seen from figure (a), the inventive method SDE-WNN mean square error is smaller than WNN1 1dB, and obviously smaller than WNN2 4dB, Figure 4 Comparing the three figures (b), (c) and (d), it can be seen that the constellation diagram of the method SDE-WNN of the present invention is clearer and more compact.

[0103] [Embodiment 2] still adopt the channel of Embodiment 1, the transmission signal is 2PAM, and the signal-to-noise ratio is 20dB, adopts D=2 in the experiment, represents the wavelet neural network blind equalizer of channel 1 and channel 2 with WNN1 and WNN2, wavelet The length of the neural network blind equalizer is 11.

[0104] Figure 5 Show, the convergence speed of the inventive method SDE-WNN will be faster than WNN1 and WNN2, and mean square error is obviously smaller than WNN1 and WNN2 2dB and 5dB, Figure 5 The co...

Embodiment 2

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Abstract

The invention discloses a blind equalization method for a wavelet neural network based on space diversity. On the basis of analysis of a space diversity technology and the equalization performance of a wavelet neural network, the method reduces the influence of fading by utilizing the space diversity and overcomes intersymobl interferences by using the stronger approximation capacity of a blind equalizer of the wavelet neural network. The invention overcomes the intersymobl interferences caused by the multipath propagation and the fading characteristic of a channel at a receiving end, improves the communication quality and has high convergence speed and small mean square error. The effectiveness of the method is verified by an acoustic channel simulation result. The method can effectivelyrealize the separation of signals and noise and the real-time restoration of the signals.

Description

technical field [0001] The invention relates to a wavelet neural network blind equalization method based on space diversity, and belongs to the technical field of blind equalization methods for overcoming inter-symbol interference (Inter-Symbol Interference, ISI) caused by multipath fading of underwater acoustic channels. Background technique [0002] In the underwater communication system, inter-symbol interference (ISI) caused by multipath fading and channel distortion distorts the transmitted signal and generates bit errors at the receiving end, which seriously affects the communication quality. An effective means to reduce intersymbol interference is to use equalization technology. Since the equalization itself can be regarded as a pattern classification problem, and the neural network has good pattern classification characteristics, it is worth studying to design a blind equalizer with a neural network (see literature [1] CHENG Hai-qing, ZHANG Li-yi. Blind Equalization...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L25/03H04L1/06H04B13/02
Inventor 郭业才高敏
Owner NANJING UNIV OF INFORMATION SCI & TECH
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