Segmented energy processing-based truncated sequential test method

Abstract

The invention discloses a segmented energy processing-based truncated sequential test method, which mainly solves the problem that the conventional spectrum sensing algorithm has poor detection performance and high computational complexity in a complex electromagnetic environment. The method comprises the following steps of: (1) sampling a received signal; (2) averagely segmenting the sequence ofthe sampled received signal, and calculating energy of each segmented sequence; (3) calculating the maximum likelihood ratio lambda j of the energy of each segmented sequence; (4) calculating test statistics Lambda K of the likelihood ratio lambda j of the energy of each segmented sequence; (5) determining an upper limit and a lower limit of a decision threshold; (6) determining the optimal truncated threshold; and (7) comparing and deciding the test statistics Lambda K, the upper and lower limits of the decision threshold and the optimal truncated threshold to obtain an output result. The method has the advantages of low computational complexity and short spectrum detection time, and can be used for improving the spectrum sensing performance of a cognitive radio network in the complex electromagnetic environment.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, relates to cognitive radio technology, is a spectrum sensing method, and is suitable for wireless communication channels with high complexity, low signal-to-noise ratio and high dynamic characteristics. Background technique [0002] With the rapid development of wireless and mobile communications, the contradiction between the increasing demand for wireless spectrum and limited spectrum resources has become a prominent contradiction in the current wireless communication industry. Nevertheless, the US Federal Communications Commission FCC's spectrum strategy task work report shows that most of the spectrum is idle most of the time, the spectrum utilization rate of the 0-3GHz band is 30%, and the spectrum utilization rate of the 3-4GHz and 4-5GHz bands is 30%. The rate is only 0.5% and 0.3%. In order to improve the current situation of low spectrum utilization, J.Mitola et al. propo...

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Problems solved by technology

[0012] The purpose of the invention is to solve the problems of poor detection performance, high computational complexity, and need for prior information in existing spectrum sensing algorithms in complex electromagnetic environments, and propose a truncated sequential inspection based on segmental energy processing method to reduce the computational complexity of spectrum sensing, shorten the sensing time, and ensure the spectrum sensing performance of cognitive radio networks in complex electromagnetic environments, especially under low signal-to-noise ratio conditions

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