@article{MAKHILLJEAS2018131416566,
    title = {Comparison and Implementation of Swarm Intelligence Based
Channel Estimation Model},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {13},
    number = {14},
    pages = {5705-5711},
    year = {2018},
    issn = {1816-949x},
    doi = {jeasci.2018.5705.5711},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2018.5705.5711},
    author = {Shamsher and},
    keywords = {Orthogonal frequency division multiplexing,LMMSE,FFT,WOA,BER,techniques},
    abstract = {High-data-rate transmission over portable or remote channels is required by numerous applications.
Orthogonal Recurrence Division Multiplexing (OFDM) is a broadly sent tweak strategy for present day remote
correspondences frameworks as it empowers high information rate transmission over recurrence particular
remote interchanges channels at low multifaceted nature. Channel estimation is a most vital and testing issue,
particularly in remote correspondence frameworks. Generally, the transmitted flag can be debased by numerous
negative impacts, for example, versatility of transmitter or recipient, scrambling because of ecological items,
multipath et cetera. These impacts make the flag be spread in any changed areas as time, recurrence and space.
To diminishing these impacts anybody must gauge the Channel motivation Reaction (CIR). LMMSE system
appraises the channel on all subcarriers by insertion, including information subcarriers and pilot subcarriers
in one OFDM image. The diminishment in the MSE in the changed LMMSE system is practically identical with
the sit case. So, the changed strategy is compelling. Moreover, the swarm based channel estimation is
implemented in the study and compared with the existing techniques to showcase the performance of the same.}
    }