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A Cooperative Spectrum Sensing Method Based on Group Sparseness

A collaborative spectrum sensing and group sparse technology, applied in the field of collaborative spectrum sensing based on group sparseness, achieves the effects of simplifying the sensing process, intuitive display, and improving efficiency and accuracy

Inactive Publication Date: 2017-06-06
XI AN JIAOTONG UNIV
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  • Claims
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Problems solved by technology

However, this method needs to make another decision on the recovered spectrum to obtain the frequency band occupied by the primary user and the geographical location of the primary user.

Method used

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  • A Cooperative Spectrum Sensing Method Based on Group Sparseness
  • A Cooperative Spectrum Sensing Method Based on Group Sparseness
  • A Cooperative Spectrum Sensing Method Based on Group Sparseness

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Embodiment Construction

[0036] The present invention is described in further detail below in conjunction with accompanying drawing:

[0037] The cooperative spectrum sensing method based on group sparseness described in the present invention comprises the following steps:

[0038] Let N m primary users are distributed in geographical area A, N m The location set of each primary user is N t Cognitive users are also distributed in the geographical area A, in the monitoring of the broadband B, set the position x of the cognitive users in the geographical area A t is known, the position of the primary user transmitter is unknown, and the channel h mt (n; l) the primary user location x m to cognitive user location x t The channel impulse response of the lth path, u m (n) is the transmitted signal of the mth primary user, u m (n) with channel h mt (n; l) independent, then the cognitive signal y received by user t t (n) is:

[0039]

[0040] Among them, v(n) is additive white Gaussian noise, a...

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Abstract

The invention discloses a cooperative spectrum sensing method based on group sparsity, which comprises the following steps: firstly, through the basis expansion model, the primary user m at position x is solved m The approximate transmit power spectral density Φ m (f) Divide geographic area A into discrete grid points The N g grid points are located at The virtual grid of , then cognitive user t is at position x t The received power spectral density Φ t (f), Φ t (f) is the approximate value of the power spectral density of the cognitive user, obtain the estimated vector of the N×1-dimensional received power spectral density, combine the estimated value with the approximate value, and obtain the system model: for N b N g ×1-dimensional vector η for grouping, and then according to N b N g The grouping results of ×1-dimensional vector η use the FOCUSS algorithm to solve the group sparse N b N g × 1-dimensional vector η, the frequency band occupied by the primary user and the position of the primary user can be obtained by estimating η. The present invention can acquire spectrum information without making judgment on the recovered spectrum again.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and relates to a cooperative spectrum sensing method, in particular to a group sparse-based cooperative spectrum sensing method. Background technique [0002] Wireless spectrum is a wireless communication system and its precious resources. However, the current wireless spectrum is extremely scarce and underutilized. Cognitive radio (CR) is an effective technology to solve this problem. Spectrum sensing is a key technology of cognitive radio. According to the system bandwidth, spectrum sensing can be divided into narrowband spectrum sensing and wideband spectrum sensing. The purpose of wideband spectrum sensing is to find spectral holes in a wide frequency range. Wideband spectrum sensing can be roughly divided into two categories: wideband spectrum sensing based on Nyquist rate sampling and wideband spectrum sensing based on compressed sensing (CS). According to Shannon sampling ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04B17/382H04B17/327
Inventor 李锋刘哲段文磊李书源李海林
Owner XI AN JIAOTONG UNIV
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