Open AccessApplication of Maximum Entropy Theorem in Channel Estimation
Author(s) -
Zhang Zhengyu,
Lou Jinming,
Jin Mengdi,
Yao Yuan,
Zhu Jingguo
Publication year - 2020
Publication title -
chinese journal of electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.267
H-Index - 25
eISSN - 2075-5597
pISSN - 1022-4653
DOI - 10.1049/cje.2020.01.015
Subject(s) - decoding methods , channel (broadcasting) , low density parity check code , algorithm , computer science , transmission (telecommunications) , entropy (arrow of time) , transmission channel , transmission system , coding (social sciences) , mathematics , telecommunications , statistics , physics , quantum mechanics
Scholars have been highly concerned with the blind channel estimation of multi‐carrier modulation transmission systems, and the decoding process of block codes is usually closely related to channel parameters. Therefore, the accurate estimation of channel parameters is an important method to ensure communication accuracy. According to the transmission characteristics of multi‐carrier modulated transmission channels, this paper uses the maximum likelihood theorem and the maximum entropy theorem to put forward a blind channel estimation method based on the proposed received signals. In order to verify the effect of this method, this research utilizes the BP decoding algorithm, which is used in LDPC coding, to calculate the symbol error rate and analyze the estimated effect of the transmission system. The simulation results show that the proposed method can estimate channel parameters effectively, and that the symbol error rate of LDPC decoding is almost similar to that of non‐blind channel estimation. This implies that the proposed channel estimation method can effectively improve both channel utilization and transmission efficiency.