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Real-time automatic threshold calculating method for scanning and monitoring radio signal

A technology of radio signals and calculation methods, which is applied in wireless communication, transmission monitoring, electrical components, etc., and can solve problems such as inability to take into account both large and small signals, indistinguishable signal and noise, automatic threshold missed detection, etc.

Active Publication Date: 2014-05-07
成都华日通讯技术股份有限公司
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Problems solved by technology

[0003] In view of the deficiencies in the prior art, the purpose of the present invention is to provide a real-time automatic threshold calculation method for radio signal scanning monitoring, which can provide a basis for signal judgment for radio real-time scanning monitoring, and overcome the large and small signal that may be caused by the linear threshold. Unable to take into account, signal and noise cannot be distinguished, and the problem of missed detection that may be caused by statistical automatic threshold

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  • Real-time automatic threshold calculating method for scanning and monitoring radio signal

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Embodiment

[0024] Such as figure 1 As shown, a real-time automatic threshold calculation method for radio signal scanning monitoring, the method steps are as follows:

[0025] The first step: real-time scanning of a complete frame of real-time scanning frequency domain monitoring data [Kn];

[0026] The second step: Carry out wavelet decomposition on the monitoring data [Kn], the calculation formula of the wavelet decomposition is [Kn]=[An]+[D1n]+[D2n];

[0027] The third step: the details of wavelet decomposition, the calculation formula of the details of wavelet decomposition is: [Dn]=[D1n]+[D2n];

[0028] The fourth step; detail data contour fitting to obtain data [D'n];

[0029] Step 5: Calculate the arithmetic mean of each collected data [D'n], δ=([D'1]+[D'2]+...[D'n]) / n;

[0030] Step 6: Compare the size of each data [D'n] and the arithmetic mean δ; when the data [D'i]>arithmetic mean δ, then the data [D'i] is not background noise, so no The next step is to keep the data [D′i];...

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Abstract

The present invention discloses a real-time automatic threshold calculating method for scanning and monitoring a radio signal, which relates to a calculating method in radio monitoring software. According to the real-time automatic threshold calculating method, according to real-time scanning on one frame of real-time scanning frequency domain monitoring data [Kn], a threshold value [T'n] can be quickly calculated through a real-time automatic threshold calculating method. According to the real-time automatic threshold calculating method, a counting automatic threshold calculating principle is adopted, the threshold value is based on certain time (or number of scanning); detection leakage may occur for the signals with short appearing time, and influence is caused for subsequent data processing (such as occupation rate counting). The real-time automatic threshold calculating method provides a signal determining basis for radio real-time scanning monitoring and overcomes the problems of: incapability of considering large signals and small signals by linear threshold, incapability of differentiating signals and noises, and detection leakage which may be caused by automatic threshold counting.

Description

technical field [0001] The invention relates to a calculation method in radio monitoring software, in particular to a real-time automatic threshold calculation method for radio signal scanning monitoring, and mainly relates to a calculation method for judging signals during the real-time scanning process of radio signals. Background technique [0002] At present, in the process of real-time scanning of radio signals in China, linear thresholds or statistical automatic thresholds are generally used. When using a linear threshold, no matter how the frequency range of the monitoring frequency band changes, only the same fixed value threshold can be used in the same monitoring frequency band, which may cause different business frequency bands that cannot take into account the coexistence of large and small signals or large differences in background noise. As a result, either small signals cannot be extracted, or background noise is extracted as a signal. Contents of the invent...

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Application Information

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IPC IPC(8): H04B17/00H04W24/02
Inventor 刘春鹏张翼
Owner 成都华日通讯技术股份有限公司
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