Spectrum correlation characteristics-based frequency spectrum detection method

A spectrum detection and related feature technology, applied in transmission monitoring, electrical components, transmission systems, etc., can solve the problems of restricting the reliability of spectrum detection and low resolution, and achieve good spectrum detection performance, high resolution, and improved performance. Effect

Inactive Publication Date: 2013-01-16
SHANGHAI NORMAL UNIVERSITY
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Problems solved by technology

However, the resolution of the spectrum estimation of the signal by the periodogram method is low, and the resolution is affected by the signal le

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  • Spectrum correlation characteristics-based frequency spectrum detection method
  • Spectrum correlation characteristics-based frequency spectrum detection method
  • Spectrum correlation characteristics-based frequency spectrum detection method

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Embodiment Construction

[0018] Below in conjunction with accompanying drawing and embodiment the present invention will be further described

[0019] The specific design steps of the improved spectrum detection method based on spectral correlation features are as follows:

[0020] a. Calculate the MVDR spectrum of the sampling signal of the transmitted signal: This algorithm requires that the transmitted signal of the primary user transmitter is known, and the transmitted signal is set to x(t), and the sampling frequency is f s Hertz (Hz) samples x(t), and the sampling interval is T s seconds, then the sampling signal of the sent signal is x(l)=x(lT s ), the sample autocorrelation matrix of x(l) with length L is The order of is M, and the value of M is determined by the requirement of the perception time on the complexity of the algorithm. according to Calculate the MVDR spectrum of x(l) k=0,1,...,L-1.

[0021] b. Calculate the MVDR spectrum of the sampling signal of the received signal: set...

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Abstract

The invention relates to a spectrum correlation characteristics-based frequency spectrum detection method in a cognitive radio system. Spectrum estimation is performed on a transmitted signal of a master user transmitter and a received signal of a cognitive user receiver by using a minimum variance distortionless response (MVDR) algorithm; spectrum related quantities of MVDR spectrums of the transmitted signal and the received signal are taken as detection statistical quantities; a threshold meeting a false alarm probability condition is solved; and the detection statistical quantities are compared with the threshold to judge whether the frequency spectrum is occupied. The method is implemented by the following five parts of: calculating the MVDR spectrum of a sampling signal of the transmitted signal; calculating the MVDR spectrum of the sampling signal of the received signal; calculating detection statistical quantities; calculating a threshold value th meeting the false alarm probability Pf; and judging whether the frequency spectrum is occupied. By the spectrum correlation characteristics-based frequency spectrum detection method, the requirements of an institute of electrical and electronics engineers (IEEE802.22) standard on a detection time can be met, simultaneously, the resolution for performing the spectrum estimation is higher and the spectrum frequency detection performance is higher compared with the conventional correlation detection algorithm for performing spectrum estimation by a periodic diagram method.

Description

technical field [0001] The present invention relates to the technical field of cognitive radio spectrum detection, in particular to a spectrum detection method based on spectrum correlation features in a cognitive radio system. Background technique [0002] With the rapid development of wireless communication services, the traditional static spectrum allocation method has greatly hindered the utilization of spectrum resources. Cognitive radio technology (CR), as a spectrum reuse technology, has unique advantages in solving the problems of spectrum resource shortage and improving spectrum utilization in wireless communication. It is considered to be a key technology in the next generation wireless communication network. The FCC (Federal Communications Commission) has opened the TV frequency band for cognitive wireless devices, so that it can continuously sense the spectrum environment, dynamically detect unused frequency bands, and access vacant frequency bands without causi...

Claims

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Application Information

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IPC IPC(8): H04B17/00H04B17/382
Inventor 李莉张家凯凌洪涛李磊陈小丹
Owner SHANGHAI NORMAL UNIVERSITY
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