  Wireless communication systems generally endure severe fading and
interference caused by the time-dispersive channel. Major transmission
distortion is produced by channel multipath propagation and overlap of
subsequent symbols. To counteract channel response, equalization techniques are
employed to operate on channel output and recover transmitted signal at the
receiver. This work investigates equalization of channels undergoing alpha-mu
fading distribution, which models multipath propagation in millimeter Wave
(mmWave) and sub-Terahertz (sub-THz) frequencies bands. Three equalization
algorithms, which are non-adaptive Zero-Forcing (ZF), adaptive
Least-Mean-Square (LMS) and adaptive Recursive-Least-Square (RLS) are
implemented and addressed in terms of Bit Error Rate (BER), Convergence speed
and implementation complexity. Monte Carlo simulations are then carried out to
compare algorithms and assess performance by varying multiple parameters such
as training lengths, channel order, equalization taps and diverse fading
conditions.
