Frequency spectrum sensing method based on multi-aerial system covariance matrix

A covariance matrix and multi-antenna system technology, applied in diversity/multi-antenna systems, space transmit diversity and other directions, can solve the problems of low antenna correlation and poor perceptual performance, and achieve high perceptual performance and good perceptual performance.

Inactive Publication Date: 2012-01-18
NINGBO UNIV
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Problems solved by technology

However, this method has poor performance in perception with low antenna correlation

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  • Frequency spectrum sensing method based on multi-aerial system covariance matrix
  • Frequency spectrum sensing method based on multi-aerial system covariance matrix
  • Frequency spectrum sensing method based on multi-aerial system covariance matrix

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Embodiment Construction

[0022] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0023] Such as figure 1 As shown, a spectrum sensing method based on the covariance matrix of a multi-antenna system includes the following steps:

[0024] First, before spectrum sensing, according to the number of antennas in the cognitive radio system, the number of signal sampling times and the constant false alarm probability are preset, and the judgment threshold λ is set by using the noise simulated by the computer; the specific steps are: 1. The number of antennas in the known radio system is denoted as M, the preset signal sampling frequency is denoted as K, and the preset constant false alarm probability is denoted as P f ; 2, generate the noise vector n(k)=[n of K times sampling on M antennas by computer simulation 1 (k), n 2 (k),...n m (k)..., n M (k)] T , where n m(k) represents the noise of the kth (k=1, 2, ..., K) sampling...

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Abstract

The invention discloses a frequency spectrum sensing method based on a multi-aerial system covariance matrix. The frequency spectrum sensing method comprises the steps of: before frequency spectrum sensing, setting a decision threshold lambda by performing normalization operation on noise signals simulated by a computer by means of a preset signal sampling number of times and a false-alarm probability according to the number of antenna in a cognitive radio system at first; during frequency spectrum sensing, sampling signals on a monitoring channel by a multi-aerial system, and normalizing thesignals obtained through sampling; then calculating a covariance matrix by using the normalized sampled signals; calculating an adaptively weighted coefficient by using the covariance matrix; calculating weighted test statistic by using the covariance matrix and the adaptively weighted coefficient; and judging whether the weighted test statistic is more than the decision threshold, if so, judgingthat the monitoring channel is busy, or else, judging that the monitoring channel is idle. The method disclosed by the invention has the advantages that not only a better sensing performance can be acquired when antenna relevance is higher, but also a better sensing performance is acquired when the antenna relevance is lower.

Description

technical field [0001] The invention relates to a cognitive radio spectrum sensing problem, in particular to a spectrum sensing method based on a covariance matrix of a multi-antenna system. Background technique [0002] With the advent of the information age, wireless communication plays an increasingly important strategic role in social and economic development, and penetrates into various fields of society. The development of wireless communication shows the trend of high speed, broadband, heterogeneity and ubiquitous. At the same time, wireless communication is also facing severe challenges. With the rapid growth of wireless communication service demands, spectrum resources are becoming increasingly scarce. This is mainly reflected in two aspects: First, the unlicensed frequency bands for wireless local area network (WLAN), wireless personal area network (WPAN) and other services have become saturated; secondly, as more and more licensed frequency bands are allocated an...

Claims

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Application Information

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IPC IPC(8): H04B7/06H04B7/08
Inventor 金明李有明俞建定
Owner NINGBO UNIV
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