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A Spectrum Sensing Method in Alpha Stable Distributed Noise

A stable distribution and spectrum sensing technology, applied in the communication field, can solve problems such as poor perception performance and achieve good perception performance

Active Publication Date: 2017-03-08
XIDIAN UNIV
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AI Technical Summary

Problems solved by technology

The matching filter detection algorithm based on correlation entropy, in the white Gaussian noise environment, the perception performance is better than the matched filter perception method, but in the Cauchy noise environment, the perception performance becomes worse under the condition of low signal-to-noise ratio (SNR)

Method used

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  • A Spectrum Sensing Method in Alpha Stable Distributed Noise
  • A Spectrum Sensing Method in Alpha Stable Distributed Noise
  • A Spectrum Sensing Method in Alpha Stable Distributed Noise

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Embodiment Construction

[0056] The present invention will be further described below in conjunction with the accompanying drawings. It should be noted that this embodiment is based on the technical solution, and provides detailed implementation and specific operation process, but the protection scope of the present invention is not limited to the present invention. Example.

[0057] Such as figure 1 As shown, the spectrum sensing method under a kind of Alpha stable distributed noise comprises the following steps:

[0058] S1 builds a maximum correlation entropy spectrum sensing system model in an Alpha stable distributed noise environment:

[0059] 1.1) Define x(t) as the information of the primary user (PU) perceived by the secondary user (SU), s(t) is the deterministic signal transmitted by the PU, h(t) is the channel gain, take h(t)= 1, w(t) is additive symmetric α stable distribution noise, H 0 and H 1 Respectively represent two hypothetical situations of PU non-existence and existence, t is ...

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Abstract

The invention discloses a frequency spectrum sensing method under Alpha stable distributed noises. The method comprises the following steps of: constructing a maximum joint entropy frequency spectrum sensing model under an Alpha stable distributed noise environment; based on a conjugate convex function theory, obtaining an augmented cost function based on maximum joint entropy; adopting a half-quadratic optimization technology to optimize the cost function, and obtaining an optimal weight vector by an iteration mode; and through judgment criterions, carrying out judgment on the value of the cost function, and realizing the frequency spectrum sensing under the Alpha stable distributed noise environment. According to the invention, the spectrum sensing can be carried out under the Alpha stable distributed noise environment, and good sensing performance is realized when a generalized signal to noise ratio is relatively small.

Description

technical field [0001] The invention relates to the field of communication technology, in particular to a maximum correlation entropy spectrum sensing method under an Alpha stable distributed noise environment. Background technique [0002] In a cognitive radio network, in order not to cause harmful interference to the primary user, the cognitive user needs to judge whether the primary user exists through spectrum sensing. Accurate spectrum sensing can improve the access opportunities of cognitive users and improve the utilization of spectrum resources without causing interference to primary users. [0003] In practical applications, due to the influence of various electromagnetic environments such as atmospheric noise, electromagnetic noise or human interference, the noise or interference received by the receiver often does not have the characteristics of Gaussian white noise, but has obvious "peak" characteristics. It has a non-Gaussian distribution. The symmetric α-stab...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04B17/382H04L27/00
Inventor 李兵兵李军芳刘明骞
Owner XIDIAN UNIV
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