Cooperative spectrum sensing method based on cluster sparsity

A cooperative spectrum sensing, group sparse technology, applied in the field of cooperative spectrum sensing based on group sparse

Inactive Publication Date: 2015-10-14
XI AN JIAOTONG UNIV
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However, this method needs to make another decision on the recovered spectrum to obtain the f

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  • Cooperative spectrum sensing method based on cluster sparsity
  • Cooperative spectrum sensing method based on cluster sparsity
  • Cooperative spectrum sensing method based on cluster sparsity

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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 position 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] y t ( ...

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Abstract

The invention discloses a cooperative spectrum sensing method based on cluster sparsity. The method comprises the following steps: solving the approximate emission power spectrum density phim(f) of a main user m at a position xm through a basis expansion model; partitioning a geographic region A into discrete grid points, wherein the Ng grid points are positioned in a virtual network, so that the receiving power spectrum density of a cognitive user t at a position xt is phit(f), and phit(f) is an approximate value of the power spectrum density of the cognitive user; acquiring a (N*1)-dimension receiving power spectrum density estimated vector; correlating the estimated value with the approximate value to obtain a system model; grouping (NbNg*1)-dimension vectors eta; solving a cluster sparsity (NbNg*1)-dimension vector eta with a FOCUSS algorithm according to the grouping result of the (NbNg*1)-dimension vectors eta; and estimating eta to obtain a bandwidth occupied by the main user and the position of the main user. Through adoption of the cooperative spectrum sensing method, information of spectrums can be acquired without re-judgment of recovered spectrums.

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 ...

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Application Information

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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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