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Feedback stack energy detection method solving user random arrival

A technology of superimposing energy and detection methods, applied in transmission monitoring, electrical components, transmission systems, etc.

Active Publication Date: 2014-08-06
CHONGQING UNIV OF POSTS & TELECOMM
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

figure 2 Medium SU 0 at t 1 Perceive the PU frequency band at all times, at t 3 The detection is completed at all times and the PU is detected to be idle, then the SU 0 at t 3 Start to transmit your own data at all times, the light blue part in the figure indicates SU 0 data; but SU 0 Soon after starting detection, SU also arrives in the network, at t 2 Start to perceive the PU frequency band at any time, which causes in the detection cycle of SU, at [t 2 ,t 3 ] time period contains only AWGN signal, in [t 3 ,t 4 ] time period contains SU 0 Mixed signal of signal and AWGN signal

Method used

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  • Feedback stack energy detection method solving user random arrival
  • Feedback stack energy detection method solving user random arrival
  • Feedback stack energy detection method solving user random arrival

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Embodiment Construction

[0029] A non-limiting embodiment is given below in conjunction with the accompanying drawings to further illustrate the present invention.

[0030] refer to Figure 1-Figure 10 As shown, a feedback superposition energy detection method to solve the random arrival of users, which includes the following steps:

[0031] 101. Initialize and set the parameters of the feedback superposition energy detection algorithm, including: target false alarm probability The detection time T of the feedback superposition energy detection algorithm sens , and the sampling frequency f of the feedback superposition energy detection algorithm s , it can be obtained that the total number of sampling points of the feedback superposition energy detection algorithm I=T sens f s ;

[0032] 102. Using the target false alarm probability set in step 101 and the total number of sampling points I, according to the formula Calculate the decision threshold of the feedback superposition energy detecti...

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Abstract

The invention discloses a feedback stack energy detection method solving user random arrival. The method comprises the steps of setting a target false-alarm probability Pf<DES>, the detection time Tsens of a feedback stack energy detection algorithm and a sampling frequency spectrum fs of the feedback stack energy detection algorithm; working out a judgment threshold eta'; calculating a statistical decision amount Y of the feedback stack energy detection algorithm; if Y>=eta', determining that users (primary users or secondary users) exists in a channel H1; if Y<eta', determining that no users (primary users or secondary users) exist in a channel H0. According to the feedback stack energy detection method solving user random arrival, due to the fact that instant energy values of sampling points of the second half portion of an energy detection algorithm detection period are added to instant energy of sampling points of the first half portion of the energy detection algorithm detection period, on the premise that the detection time is not prolonged, the energy proportion of use signals in the statistical decision of the energy detection algorithm is improved; the detection performance for user cognition can be improved, the probability that user data collide with each other in a cognitive radio system is reduced, and therefore the SU data throughout is improved.

Description

technical field [0001] The invention relates to energy detection technology in cognitive radio technology, in particular to a feedback superposition energy detection method for solving random arrival of users. Background technique [0002] Cognitive Radio (CR), as a dynamic spectrum reuse technology, can improve spectrum utilization and effectively utilize scarce spectrum resources. In CR technology, energy detection (Energy Detection, ED) has been widely used due to its simplicity and low complexity. Most of the current research on idle spectrum detection is based on the assumption that the communication state of the authorized user / primary user (PU) does not change during the detection phase, that is, it is assumed that during the entire detection period, the PU either exists or does not exist. However, in the actual CR environment, the activity state of the PU is likely to change during the detection period, especially in low signal-to-noise ratio (Signal-to-Noise Ratio...

Claims

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Application Information

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IPC IPC(8): H04B17/00
Inventor 谢显中胡小峰
Owner CHONGQING UNIV OF POSTS & TELECOMM
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