Underwater multi-path communication method based on frequency spectrum perception and prediction

Abstract

The invention relates to the technical field of the underwater communication, and aims to provide an underwater multi-path communication method based on frequency spectrum perception and prediction, which comprises the following steps: establishing a prediction model on use status information of each channel; predicting the current use state of the channel according to the delay information of the node of a occupied channel; and on the basis, selecting a proper channel to carrying out the communication. The frequency spectrum prediction mechanism provided by invention can enable the node to quickly access to a free channel so as to reduce access delay and improve the communication effect. By establishing the prediction model on use status information of each channel and predicting the current use state of the channel according to the delay information of the node of the occupied channel, the invention reduces data collision probability of multi-path communication, improves data transmission rate and spectrum utilization, saves node energy, and prolongs the cycle of network.

Description

technical field [0001] The invention relates to the technical field of underwater communication, in particular to an underwater multi-channel communication method based on spectrum sensing and prediction. Background technique [0002] With the rapid development of modern information technology, communication has become a three-dimensional integrated demand network of land, sea and air, especially the underwater communication network represented by the ocean has become an indispensable part of national defense, communication, surveillance, detection and other activities. [0003] So far, among the various radiation signals known to people, the propagation performance of sound waves in water is the best, so acoustic communication is currently the main means of underwater wireless communication. Due to the influence of absorption, scattering, reflection, geometric expansion and other factors, the propagation attenuation of high-frequency acoustic signals in water is very large,...

AI Technical Summary

Problems solved by technology

[0005] In terrestrial wireless communication, the existing cognitive radio channel state perception and prediction methods can use the statistical information of the channel to calculate the state transition probability matrix of the channel, and then predict any future state transition probability based on the probability of the channel being in each state at the initial moment. The probability of each state at a time can effectively reduce data collisions and improve spectrum utilization. However, due to the rapid propagation speed of electromagnetic waves in the air, it is usually assumed that the perceived spectrum information is real-time and synchronous, which cannot effectively deal with water pollution. There is no effective solution for the non-real-time and asynchronous information of spectrum sensing in the current underwater communication technology

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