Strong interference signal detection method based on power spectrum and multiple dimensioned wavelet transformation analysis

A wavelet transform and signal detection technology, applied in transmission monitoring, electrical components, transmission systems, etc., can solve the problems of spectrum waste, slow iterative process, poor real-time performance, etc., to achieve convenient hardware implementation, good robustness, and easy setup. Effect

Active Publication Date: 2016-03-23
NO 20 RES INST OF CHINA ELECTRONICS TECH GRP
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Problems solved by technology

[0004] The frequency domain threshold method transforms the signal into the frequency domain, sets the threshold according to the probability distribution of the signal, and records the spectral lines exceeding the threshold to obtain the interference parameters. However, the selection of the threshold has a great influence on the result, and it is difficult to choose a suitable threshold.
The wavelet packet decomposition method performs wavelet decomposition on the signal, which is equivalent to dividing the signal into N segments in the frequency domain, and calculating the energy value of each segment. If the en

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  • Strong interference signal detection method based on power spectrum and multiple dimensioned wavelet transformation analysis
  • Strong interference signal detection method based on power spectrum and multiple dimensioned wavelet transformation analysis
  • Strong interference signal detection method based on power spectrum and multiple dimensioned wavelet transformation analysis

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[0022] The present invention will be further described below in conjunction with the accompanying drawings and embodiments, and the present invention includes but not limited to the following embodiments.

[0023] The strong interference signal detection method based on power spectrum and multi-scale wavelet transform analysis proposed by the present invention comprises the following steps:

[0024] (1) The receiving end samples the received signal, calculates the sampled received signal power spectrum S(k), and smooths it through a sliding filter to obtain the smoothed power spectrum S m (k):

[0025] S m (k)=S(k-1)+S(k)+S(k+1)

[0026] (2) For the smoothed power spectrum S m (k) Do n-order Gaussian curve fitting to smooth the signal very well, n is selected according to the specific situation (the range of n is 3-10, the larger the value, the better the fitting degree), and the obtained

[0027] P m ( k ...

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Abstract

The invention provides a strong interference signal detection method based on power spectrum and multiple dimensioned wavelet transformation analysis, comprising: a receiving terminal sampling received signals, calculating a sampled received signal power spectrum, and performing smooth filtering on the received signal power spectrum through a sliding filter; performing gauss curve fitting on the power spectrum after smooth filtering, and performing multiple dimensioned wavelet transformation on the fitted power spectrum to obtain each scale wavelet transformation coefficient; calculating a sum wavelet coefficient and a threshold thereof to obtain a new sum wavelet coefficient; employing an extreme point searching algorithm to search for a new sum wavelet coefficient maximum point; and verifying the accuracy of the searched maximum point. The method overcomes the problem of difficult threshold setting of a traditional threshold detection method, has the advantages of high detection precision, strong robustness, and convenient realization, and can be used for detection and identification of a plurality of interference signals in a communication system.

Description

technical field [0001] The invention relates to a signal detection method. Background technique [0002] Wireless communication has become an indispensable part of people's life, scientific research, military and other fields. Especially in war, effective and reliable battlefield communication is an important guarantee for the final victory. However, the complex electromagnetic environment and artificial malicious interference have a great impact on communication quality big threat. In order to ensure reliable communication, certain anti-jamming techniques must be adopted. At present, the most important anti-interference method is to use spread spectrum communication technology. However, the spread spectrum gain of the spread spectrum communication system is limited, and the communication quality cannot be guaranteed when encountering strong interference. If the receiving end can periodically detect the surrounding electromagnetic environment before and during the communic...

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Application Information

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IPC IPC(8): H04B17/336H04B17/345
Inventor 张映霓韩春雷齐佩汉王瑜胡军锋
Owner NO 20 RES INST OF CHINA ELECTRONICS TECH GRP
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