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Spectrum sensing method and device under condition of unknown noise variance

A noise variance and spectrum sensing technology, applied in the field of spectrum detection, can solve the problems of increased detection difficulty, difficulty in obtaining noise variance, performance degradation, etc., to avoid excessive computational complexity, excellent robustness, and improve spectrum sensing performance Effect

Active Publication Date: 2014-11-26
BEIJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

In practical applications, it is difficult for cognitive users to obtain accurate noise variance, which leads to a great increase in the detection difficulty of existing detection methods and a significant decline in their performance

Method used

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  • Spectrum sensing method and device under condition of unknown noise variance
  • Spectrum sensing method and device under condition of unknown noise variance
  • Spectrum sensing method and device under condition of unknown noise variance

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Embodiment Construction

[0019] The invention establishes a dynamic state space model of spectrum sensing under the condition of unknown noise variance, and simultaneously uses edge particle filter technology to jointly estimate the noise variance and the state of the primary user. The dynamic system model and the spectrum sensing process are described separately below.

[0020] 1. The spectrum sensing dynamic state space model established by the present invention is shown in formula (1).

[0021] S x n = f ( S x n - 1 ) ...

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Abstract

The invention discloses a novel spectrum sensing method and device according to the spectrum sensing problem under the condition of an unknown noise variance in practical application. According to the method and device, combined estimation on the state of an authorized user and the noise variance can be achieved. The sensing algorithm is rooted in the Bayes statistical inference principle, the mariginal particle filtering (MPF) technology is adopted, and the unknown noise variance is approached through an iterative estimation mode. The noise variance information obtained through accurate estimation is utilized, the method and device can be conveniently expanded to be applied to (not limited to) a single-node single-antenna sensing system, and the good spectrum sensing performance is obtained (see the attached drawing). The combined estimating and sensing device has good stability, and therefore the device and method can be widely applied to actual cognitive radio system design.

Description

technical field [0001] Aiming at the spectrum detection problem under the condition of unknown noise variance, the present invention designs and proposes a new spectrum detection method, which can realize the joint estimation of authorized user state and unknown noise variance. Based on Bayesian theory, this method uses Marginal Partical Filtering (MPF) technology to iteratively update the estimated value of the unknown noise variance, which can significantly improve the spectrum sensing performance under the condition of unknown variance. belongs to the field of communication. Background technique [0002] Modern wireless communication has increasing demand for bandwidth and transmission rate, resulting in an increasing shortage of limited spectrum resources. Cognitive Radio (CR), as a spectrum intelligent allocation technology, is characterized by allowing unlicensed users (also known as secondary users or cognitive users) to share the licensed frequency band when it is f...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04B17/00
Inventor 李斌孙梦巍田铁红赵成林许方敏
Owner BEIJING UNIV OF POSTS & TELECOMM
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