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Energy detection method based on deviation correction

A technology of energy detection and deviation correction, applied in the field of cognitive radio, can solve problems such as noise concentration, achieve the effect of improving detection performance, suppressing the influence of spectrum sensing performance, and achieving good performance

Inactive Publication Date: 2012-10-03
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0014] The purpose of the present invention is to solve the above-mentioned problems caused by the noise of the existing spectrum sensing method mainly concentrated near the zero frequency after passing through the SR system, and propose an energy detection method based on deviation correction

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  • Energy detection method based on deviation correction
  • Energy detection method based on deviation correction
  • Energy detection method based on deviation correction

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Embodiment Construction

[0046] Combine below Figure 1-Figure 6 The energy detection method of the present invention is described.

[0047] Such as figure 1 and figure 2 As shown, the energy detection method of the present invention specifically includes the following steps:

[0048] S1. Initialization parameters: The parameters include, the scale transformation factor R of the second sampling; the cumulative number of signal sampling points N required to calculate the test statistic; the false alarm probability P f ;

[0049] The value basis for the initialization parameters is given below:

[0050] Define the frequency after subsampling as f′ c =f c / R, the study found that the input signal of the adaptive stochastic resonance system is at 5×10 -4 Hz~3×10 -3 It is easy to generate random resonance in the Hz range, so f′ c ∈[5×10 -4 ,3×10 -3 ], generally you can take f′ c =1×10 -3 Hz, ie R=f c / 1×10 -3 . The value of sampling accumulation points N should not be less than 1 / 4 of the ...

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Abstract

The invention discloses an energy detection method based on deviation correction. The method comprises the specific steps of: firstly, carrying out secondary sampling treatment on a large-frequency receiving signal r(t) for reducing the large-frequency receiving signal r(t) into a small-frequency signal r'(t); then, inputting small-frequency signal r'(t) into an SR (Stochastic Resonance) system and outputting x(t); and finally, carrying out treatment based on the deviation correction on the x(t) to obtain a checking counting amount T(x), comparing the T(x) with a threshold and judging. According to the energy detection method based on the deviation correction, a direct-current component of an SR system output signal is effectively eliminated so that the detection performance is improved, particularly a good performance can be represented under a low SNR (Signal Noise Ratio), the influence noise uncertainty on the spectrum sensing performance is effectively inhibited, and the requirements of a CR (Cognitive Radio) system are better met; when a scale conversion factor of secondary sampling is calculated, the method also can adjust the scale conversion factor of the secondary sampling through the feedback of a spectrum amplitude value, so that an input authorization user signal is converted into a frequency at which a self-adapted random resonance system can easily generate random resonance, and therefore a signal to noise ratio gain of an output signal is maximized.

Description

technical field [0001] The invention belongs to the field of cognitive radio technology, and in particular relates to an energy detection method therein. Background technique [0002] With the growth of wireless services, spectrum resources are increasingly scarce. In order to solve this problem, researchers have proposed Cognitive Radio (CR) technology. The premise of CR technology is to find available spectrum resources, and spectrum sensing is the key technology used to accomplish this task. In order to effectively avoid the harmful interference of the signal of the cognitive radio system to the licensed user, it is required that the spectrum sensing method can reliably detect the licensed user's signal under low signal-to-noise ratio (Signal-to-Noise Ratio, SNR). Energy detection (ED) is a simple and feasible spectrum sensing method in CR systems, but the traditional ED technology has a low detection probability under low signal-to-noise ratio and cannot well meet the r...

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Application Information

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IPC IPC(8): H04B17/00H04B17/309H04B17/382
Inventor 张少文王军钟鸣李少谦
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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