@article{MAKHILLJEAS2017122315287,
    title = {The Performance of Different Channel Equalizer Techniques in
Wireless Communications using SISO and MIMO},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {12},
    number = {23},
    pages = {7375-7381},
    year = {2017},
    issn = {1816-949x},
    doi = {jeasci.2017.7375.7381},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2017.7375.7381},
    author = {Mustafa H. and},
    keywords = {Decision-Feedback Equalization (DFE),Maximum Likelihood Sequence Estimation (MLSE),Binary Phase-Shift Keying (BPSK),Single-Carrier Frequency Domain Equalizer (SC-FDE),Single-Input Single-Output (SISO),Multiple-Input Multiple-Output (MIMO)},
    abstract = {Channel equalizers are used to reduce the Inter-Symbols Interference (ISI) arising from the delay
spread or band-limitation of the channel by modifying the pulse shape, so that, it does not interfere with the
nearby pulses. Major equalization techniques are linear equalization, Viterbi Maximum-Likelihood Sequence
Estimation (MLSE) and Decision-Feedback Equalization (DFE). These receivers for frequency-selective
channels can be easily extended to multiple antenna cases. Classical channel equalization methods such as the
linear equalizer and the DFE are based on training sequences. There are some blind algorithms which avoid the
use of training sequences. So that, led us to Maximum Likelihood Sequence Estimation (MLSE) is the best form
of sequence exposure but is extremely complex and having the smallest probability of detecting the incorrect
sequence.}
    }