Open AccessDesign and Analysis of Channel Estimation of MIMO-OFDM using Whale Swarm Optimization
Author(s) -
Srinivas Samala,
Tallapalli Chandraprakash,
P. Ramchandar Rao
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/981/3/032042
Subject(s) - algorithm , orthogonal frequency division multiplexing , swarm behaviour , computer science , mimo , channel (broadcasting) , mimo ofdm , heuristic , whale , minimum mean square error , matlab , mathematical optimization , mathematics , telecommunications , statistics , artificial intelligence , fishery , biology , estimator , operating system
Pilots are inserted with the OFDM symbol in the transmitter in the pilot based channel estimate and it is detected on the receiver. Three approaches are known as random, orthogonal, and Whale Swarm optimization are included in the pilots. The optimized pilot delivers better performance than the orthogonally and randomly positioned pilots do. Random, orthogonal, and whale swarm methods are supposed to utilized to examine the pilot carrier position. It is calculated that three separate algorithms are used: Least Square (LS), Least Square modified (LS-Mod), and MMSE. Several optimization algorithms have been introduced in MIMO-OFDM device channels to increase data quality, reduce BER, MSE, and SER. The performance of both of the above-proposed optimization algorithms is contrasted with the current simple algorithm and have shown improved outcomes in the MIMO-OFDM networks. The proposed optimization algorithms are implemented with the software MATLAB. To optimize the channel, the Meta Heuristic algorithm such as the whale swarm algorithm (WSA) is proposed.