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Comparison of Various Error Detecting Detectors

Sonam Dwivedi, Dr. Neeta Tripathi


MIMO-OFDM has gained an influential amount of research interest in last 10 years. Although channel estimation and symbol detection is a challenging scenario in MIMO-OFDM because of increased number of transmitter and receiver. Lately, several techniques were used to estimate channels such as maximum likelihood, particle swarm optimization, zero forcing, zero forcing with successive interference cancellation, pilot scheme, pilot multiplexing techniques and differential algorithm. There were few attempts made for solving the problem by metaheuristics approaches, these includes genetic, particle swarm and various other nature-inspired algorithms. The aim of present work is to provide comparison in nine different error detecting detectors and evaluate performance from two parameter signal error rate and computing time.


Particle Swarm Optimization, Zero Forcing, Maximum Likelihood, Signal Error Rate, Computing Time, Gaussian Tree Approximation.

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