An adaptive O-OFDM symbol decomposition noise suppression method based on rough set information decision system

The problem of AWGN noise increase in the adaptive O-OFDM system is solved through an adaptive O-OFDM symbol decomposition noise suppression method based on a rough set information decision system, the bit error rate performance of the VLC system is improved and the algorithm complexity is reduced.

CN119420614BActive Publication Date: 2025-10-10LANZHOU UNIVERSITY OF TECHNOLOGY
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Patent Information

Application Number
CN202410938714.0
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-07-14
Publication Date
2025-10-10
Estimated Expiration
2044-07-14

AI Technical Summary

Technical Problem

In visible light communication, the adaptive O-OFDM symbol decomposition noise suppression method causes the AWGN noise superimposed on the decomposed symbols to increase, resulting in a deterioration of the system bit error rate performance and affecting the VLC system performance.

Method used

An adaptive O-OFDM symbol decomposition noise suppression method based on rough set information decision system is adopted. By constructing an information decision system based on rough set theory, time domain sampling values ​​are used for classification decision and attribute reduction to suppress AWGN noise.

Benefits of technology

It effectively suppresses AWGN noise, improves the bit error rate performance of the O-OFDM system, reduces the system's BER performance degradation, and reduces algorithm complexity.

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Abstract

The application discloses a kind of based on rough set information decision system's adaptive O-OFDM symbol decomposition noise suppression method, inhibits additive white Gaussian noise at system receiving end, comprising: using the information decision system of rough set theory and indiscernibility relation establishes rough set theory noise suppression model;With the time domain sample value of receiving end decomposition symbol to construct information decision system, according to information decision system to formulate decision rule, classification decision is originally equal to the time domain sample value of amplitude limiting threshold and zero value;According to the decision rule formulated, indiscernibility relation is derived, attribute reduction is carried out to information decision system using indiscernibility relation, attribute reduction is between the time domain sample value of amplitude limiting threshold and is reconstructed, finally, according to bit, it is added to merge, and O-OFDM symbol is recovered.The application proposes to use rough set theory to suppress the noise of adaptive O-OFDM symbol decomposition, and the designed suppression algorithm can not only improve the system bit error rate performance, but also effectively reduce the algorithm complexity.
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