Spectrum detecting method based on covariance absolute value method

Abstract

The invention belongs to a spectrum detection method in the field of communication technology, comprising: setting a system detection threshold value, continuously sampling space electromagnetic signals, overlapping and grouping sampling data, and determining the combination of autocorrelation values ​​and correlation values ​​of each group processing, establishing a covariance matrix, and determining the presence or absence of electromagnetic spectrum signals. The present invention directly performs frequency conversion sampling on the data signal received from the radio frequency front end, and groups the sampled data according to the set method, and at the same time changes the traditional serial data processing method into a parallel data processing method, which improves the operation processing speed. Therefore, under the premise of maintaining the original detection performance of the system, the present invention can improve the detection speed of the system to the electromagnetic spectrum signal, reduce the time required for the system to detect the electromagnetic spectrum signal, and meet the requirements of real-time detection, thereby facilitating the system to detect the electromagnetic spectrum signal. It has the characteristics of efficient utilization of limited wireless spectrum resources and realization of spectrum resource sharing among wireless users.

Description

technical field [0001] The invention belongs to a spectrum detection method in the technical field of communication, in particular to a detection method of an electromagnetic spectrum signal based on a covariance absolute value method in a cognitive radio system. Background technique [0002] With the rapid development of wireless communication technology, the number of wireless users has increased sharply, the traffic in the same period is also extremely unbalanced, and the utilization of spectrum resources is uneven. At present, most spectrum resources adopt a fixed allocation mode, and specific licensed frequency bands (Licensed Frequency Bands, LFB) are allocated by special frequency management departments for use by different communication services. However, in practice, part of the authorized spectrum is not enough or a certain period of time is not enough, and at this time quite a lot of authorized spectrum has not been fully used. It has been tested that as many as ...

AI Technical Summary

Problems solved by technology

Each of these detection methods has some shortcomings. For example, although energy detection is simple to implement, it is easily affected by noise uncertainty in reality; matched filter detection needs to know the prior information of authorized users; and periodic characteristic detection Then there are high computational complexity, and the signals that require authorized users have cycle stationary characteristics, etc.

In the actual communication environment, due to the fading of the wireless channel, the uncertainty of channel noise and the lack of prior information of authorized users, the above sensing methods have obvious defects and poor reliability to a certain extent, so their applicability is poor.

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