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Non-cooperative PSK underwater acoustic communication signal multi-wavelet-basis automatic optimal baseband demodulation method

A technology of underwater acoustic communication and demodulation method, which is applied in the direction of ultrasonic/acoustic/infrasonic wave transmission system, phase-modulated carrier system, sustainable communication technology, etc. It can solve the problems of different estimation results, different adaptability, and wavelet detection phase jump Unknown performance and other issues, to achieve the effect of good real-time performance, simple principle, and reduced algorithm complexity

Active Publication Date: 2021-02-05
NANJING SHIHAI ACOUSTIC TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the process of wavelet analysis, different wavelet basis functions often have different estimation results, and the performance of different wavelet detection phase jumps is unknown
In addition, various wavelets have different adaptability to different signal parameters, and it is difficult to automatically judge which wavelet analysis results are better

Method used

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  • Non-cooperative PSK underwater acoustic communication signal multi-wavelet-basis automatic optimal baseband demodulation method
  • Non-cooperative PSK underwater acoustic communication signal multi-wavelet-basis automatic optimal baseband demodulation method
  • Non-cooperative PSK underwater acoustic communication signal multi-wavelet-basis automatic optimal baseband demodulation method

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Experimental program
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Embodiment 1

[0037] The simulation signal parameters are: sampling frequency f s =100kHz, carrier frequency f 0 =5000Hz, code rate B=400Buad, the collected signal duration t=2s, signal amplitude A 0 = 1, superimposed zero-mean Gaussian white noise, variance σ 2 The size of is determined by the signal-to-noise ratio SNR: The signal-to-noise ratio is set to 20dB. The number of types of wavelet basis functions used is m=4, and the types are Haar wavelet, Morlet wavelet, Marr wavelet and Daubechies wavelet.

[0038] According to step 2, the modulus W of various wavelet analysis i (n), for smoothing, get y i (n), such as figure 2 shown. Depend on figure 2 It can be seen that the Haar wavelet, Morlet wavelet, Marr wavelet and Daubechies wavelet basis functions used in the wavelet analysis all have mutations at the symbol jump positions, but it is impossible to distinguish the good or bad of various wavelet analysis results.

[0039]According to step 6, select the corresponding wavele...

Embodiment 2

[0041] The simulation signal parameters are: sampling frequency f s =100kHz, carrier frequency f 0 =8000Hz, code rate B=200Buad, collected signal duration t=2s, signal amplitude A 0 = 1, superimposed zero-mean Gaussian white noise, variance σ 2 The size of is determined by the signal-to-noise ratio SNR: The signal-to-noise ratio is set to 20dB. The number of types of wavelet basis functions used is m=4, and the types are Haar wavelet, Morlet wavelet, Marr wavelet and Daubechies wavelet.

[0042] According to step 2, the modulus W of various wavelet analysis i (n), for smoothing, get y i (n), such as Figure 4 shown. Depend on Figure 4 It can be seen that the Haar wavelet, Morlet wavelet, Marr wavelet and Daubechies wavelet basis functions used in the wavelet analysis all have mutations at the symbol jump positions, but it is impossible to distinguish the quality of various wavelet analysis results.

[0043] According to step 6, select the corresponding wavelet analy...

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Abstract

The invention discloses a non-cooperative PSK underwater acoustic communication signal multi-wavelet-basis automatic optimization baseband demodulation method. The method comprises the following steps: obtaining a plurality of wavelet analysis result module values to be processed, and carrying out smoothing processing on the plurality of wavelet analysis result module values; sorting the smoothingresults in a descending order; estimating a preferred length based on a code rate and the sampling frequency; calculating a quality evaluation factor for optimizing a wavelet basis; and extracting aserial number corresponding to the maximum quality evaluation factor and a corresponding optimization result. For the difficulties that underwater acoustic communication signals are easy to distort under the action of an underwater acoustic channel, non-cooperative parameters are unknown and the like, the method utilizes the characteristic that a modulus value at a code element jump point is suddenly changed after PSK signal wavelet transformation, and by optimizing a group of optimal wavelet analysis estimation results and under a non-cooperative condition, can automatically adapt to basebandcode estimation of different PSK signals in a wide parameter range, is small in calculation amount, is high in practicality, and is suitable for the real-time processing of signals.

Description

technical field [0001] The invention relates to a non-cooperative PSK underwater acoustic communication signal multi-wavelet base automatic optimal baseband demodulation method, and the technical field of communication and signal processing. Background technique [0002] Phase Shift Keying (PSK) modulation technology has been widely used in the field of underwater acoustic communication and detection. Its characteristic is to use the phase change of the carrier to transmit information, while the amplitude and frequency remain unchanged. The interception detection and parameter estimation technology of PSK signal is a research hotspot and difficulty in communication and underwater acoustic countermeasures. The demodulation of PSK signal is an important part of non-cooperative interception processing, and it is also a difficult point in parameter estimation of PSK signal. [0003] Under non-cooperative conditions, due to the lack of relevant prior information, it is difficult ...

Claims

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Application Information

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IPC IPC(8): H04L27/22H04B13/02H04B11/00
CPCH04L27/22H04B13/02H04B11/00Y02D30/70
Inventor 方世良张昌文方衍安文威
Owner NANJING SHIHAI ACOUSTIC TECH CO LTD