Multi-level-based sequence detection and recognition method

Abstract

The invention discloses a multi-level-based sequence detection and recognition method, and mainly aims to solve the problem of contradiction between the spectrum utilization ratio and the reliability in an existing detection method. The method comprises the following implementation steps: (1) setting constraint values of all wrong judgment probabilities by a receiving end; (2) sampling received signals by the receiving end; (3) adding component squares of the sampled signals to obtain a test statistic, and computing judgment domains of the test statistic by the receiving end; and (4) judging whether the test statistic falls into a region of the judgment domains: returning to the step (2) if the test statistic does not fall into the judgment domains, otherwise judging which judgment domain the test statistic specifically falls into, and judging a transmitted level value of an authorized user if the test statistic falls into the judgment domains. Through adoption of the method, the spectrum utilization ratio can be maximized with certain reliability during signal detection. The method can be applied to multi-level signal detection and recognition in a cognitive radio environment.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a multilevel-based sequence detection and identification method, which can be used for spectrum sensing and identification in cognitive radio. Background technique [0002] With the rapid development of wireless and mobile communications, the contradiction between the increasing demand for wireless spectrum and the limited spectrum resources has become a prominent contradiction in the current wireless communication industry. The phenomenon of extremely low utilization rate. In this situation, the concept of cognitive radio came into being. The core idea of ​​cognitive radio is to find free spectrum in the authorized frequency band, and allow cognitive users to perceive, identify and access the currently idle frequency band without affecting the normal communication of licensed users, thereby greatly improving spectrum utilization. . It includes three...

AI Technical Summary

Problems solved by technology

The above studies all assume that the secondary user will make a judgment after obtaining a sample with a fixed number of points.

However, this sampling method cannot solve the contradiction between spectrum utilization and reliability, that is, high spectrum utilization will lead to unreliability, and high reliability will lead to low spectrum utilization.

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