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Cognitive radio spectrum sensing method based on random matrix

A cognitive radio and random matrix technology, applied in wireless communication, electrical components, transmission monitoring, etc., can solve the problem of low detection performance

Active Publication Date: 2014-09-10
HARBIN INST OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0024] The present invention is to solve the problem that the detection performance is too low to meet the needs of practical applications under the condition of low signal-to-noise ratio, and provides a cognitive radio spectrum sensing method based on random matrix

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  • Cognitive radio spectrum sensing method based on random matrix
  • Cognitive radio spectrum sensing method based on random matrix
  • Cognitive radio spectrum sensing method based on random matrix

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Experimental program
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specific Embodiment approach 1

[0048] Specific implementation mode 1: A random matrix-based cognitive radio spectrum sensing method in this implementation mode is implemented in the following steps:

[0049] Step 1, using multiple antennas to receive the signal to be sensed;

[0050] Step 2, expressing the received signal data with a sampling matrix;

[0051] Step 3, solve the singular value of the sampling matrix, find out the largest singular value and the smallest singular value, and determine the test statistic;

[0052] Step 4: Comparing the test statistic with the judgment threshold, making a judgment based on the comparison result of the test statistic and the judgment threshold, the judgment criterion: when the test statistic is greater than or equal to the judgment threshold, it is judged that the primary user signal exists, otherwise the primary user signal is considered does not exist.

[0053] The communication environment of this embodiment is the sensing scene of a single receiving antenna. ...

specific Embodiment approach 2

[0054] Specific embodiment two: the difference between this embodiment and specific embodiment one is: the signal data received in the step two is represented by a sampling matrix as follows:

[0055] Assume that the cognitive user has M receiving antennas, and each receiving antenna must sample the received signal, and set the number of sampling as K, occupying all the columns of each row of the matrix, and the data of the first root is the first row of the matrix, The data received by the second antenna is the second row of the matrix, and so on, the data received by the Mth antenna is the Mth row of the matrix, and the matrix composed of the received signals is called a sampling matrix, and there are M *K data, form the data into a matrix of M*K, called the sampling matrix, the form is as follows:

[0056] X = x 1 ( ...

specific Embodiment approach 3

[0060] Specific implementation mode three: the difference between this implementation mode and specific implementation mode one or two is: the determination of test statistics in the step three is specifically:

[0061] The test statistic selects the ratio of the largest singular value to the smallest singular value of the sampling matrix Among them, A is a Gaussian random matrix with N rows and N columns.

[0062] Although there are still multiple antennas, the number of antennas is fixed (N=4), and the signal-to-noise ratio is no longer fixed at -20dB. The purpose is to study the change of detection probability under different signal-to-noise ratio conditions.

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Abstract

The invention provides a cognitive radio spectrum sensing method based on a random matrix and relates to the cognitive radio spectrum sensing technology. The invention provides the cognitive radio spectrum sensing method based on the random matrix and aims at solving the problem that the detection performance is low and far from meeting the requirement of practical application under a low signal-to-noise ratio condition. The cognitive radio spectrum sensing method based on the random matrix comprises a step 1 of receiving signals to be sensed by use of a plurality of antennas, a step 2 of expressing the received signal data by use of a sample matrix according to a random matrix theory, a step 3 of obtaining the singular values of the sample matrix, finding out the maximum singular value and the minimum singular value, and determining test statistics, and step 4 of comparing the test statistics with a judgment threshold according to a radio spectrum sensing method, and making judgment according to the comparison result of the test statistics and the judgment threshold. The cognitive radio spectrum sensing method based on the random matrix is applied to the communication field.

Description

technical field [0001] The invention relates to cognitive radio spectrum sensing technology. Background technique [0002] 1. Spectrum sensing [0003] As it stands, the fixed allocation of spectrum results in inefficient use of all frequency bands being used. That is to say, when the primary user does not use the frequency band it occupies, the cognitive user cannot use the idle frequency band, which makes the use of spectrum unreasonable and insufficient. On the other hand, the ever-increasing wireless services have an increasing demand for wireless spectrum, resulting in an even tighter shortage of available spectrum resources. Facing the spectrum crisis, "cognitive radio" technology has emerged, which can make full use of idle spectrum. [0004] The basic idea of ​​cognitive radio is spectrum reuse and spectrum sharing, which allows cognitive users to use the vacant frequency band of the primary user to communicate without affecting the use of the primary user's frequ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W16/14H04B17/00
Inventor 高玉龙李然陈艳平刘佳鑫马永奎朱尤祥
Owner HARBIN INST OF TECH