A fast two-step energy detection algorithm based on reducing the number of sampling points
A technology of energy detection and sampling points, applied in the field of cognitive radio, it can solve the problems of underutilization and underutilization of licensed frequency bands, and achieve the effect of simple, practical and easy-to-implement algorithm, reducing detection time, and maximizing detection probability.
Active Publication Date: 2019-05-03
厦门感易通科技股份有限公司
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However, studies have shown that primary users are underutilizing the licensed frequency band while exclusively using it
Many licensed frequency bands are unused in different time periods and in different geographical regions, forming a large number of spectrum holes
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[0031] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.
[0032] refer to figure 1 , in the spectrum detection stage of the traditional energy detection method, the secondary user judges whether the primary user exists by detecting the signal of the primary user transmitter, which is essentially a binary hypothesis testing problem, which can be described as
[0033]
[0034] where y(k) represents the signal received by the secondary user, n(k) represents the additive noise, s(k) represents the signal sent by the primary user transmitter, h(k) is the gain of the wireless channel, and n(k ) and s(k) are independent of each other; H 0 Indicates that the primary user signal does not exist, H 1 Indicates that the primary user signal exists.
[0035] In the energy detection model, the secondary user determines whether there is a primary user signal according to the energy of the received signal, and ...
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The present invention provides a fast two-step energy detection algorithm based on reducing the number of sampling points. The specific steps are: a. preset a fixed false alarm probability, establish an optimization model that maximizes the detection probability, and obtain two optimal decisions threshold. b. Divide the total sampling points in the traditional energy detection algorithm into two parts on average, and perform the first step of energy detection first. c. Compare the energy value obtained in the first step of energy detection with the first threshold value. d. If the energy value is not less than the first threshold value, it is directly determined that the primary user signal exists, and skips to g. Otherwise proceed to the next step. e. Carry out the second step of energy detection on the remaining sampling points. f. Comparing the energy value obtained in the second step of energy detection with the energy value detected in the first step after averaging with the second threshold value to obtain a judgment on whether the primary user signal exists. g. The secondary user judges whether the detection is to be stopped, if yes, terminate, otherwise return to b for the next detection.
Description
technical field [0001] The invention belongs to the field of cognitive radio in the communication technology, and relates to a fast two-step energy detection algorithm in the cognitive radio based on reducing the number of sampling points to improve the frequency spectrum detection speed. Background technique [0002] With the rapid development of communication technology, various radio services emerge vigorously, and people's demand for wireless spectrum resources continues to expand. According to the existing spectrum allocation method, most of the frequency bands have been authorized to fixed users, and only a small part of free public frequency bands are reserved. In recent years, with the increasing number of wireless communication users and wireless communication devices, the limited wireless spectrum resources have become more and more tense. However, studies have shown that primary users are underutilizing the licensed frequency band while exclusively using it. Man...
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IPC IPC(8): H04B17/382H04W72/08H04W72/54
CPCH04B17/382H04W72/542
Inventor 彭盛亮郑伟斌赖美玲高仁阳杨喜
Owner 厦门感易通科技股份有限公司