Title :
ML and MMSE Equalizers in Frequency Selective and Flat Fading Channels
Author_Institution :
SBSSTC, Ferozepur, India
Abstract :
One of the techniques to achieve the different challenges in wireless communication systems is MIMO systems which ensure a wide coverage, high throughput and reliable services by enabling spatial dimension and by considering multiple numbers of transmitter and receiver antennas. In this article, the performance of ML and MMSE equalizers has been compared in terms of BER in Frequency selective and flat fading channels. The performance of MMSE is worst in frequency selective channel as compared to others. It has been concluded that the performance of ML is better among these two equalizers, specifically in case of Binary Phase shift Keying.
Keywords :
MIMO communication; equalisers; error statistics; fading channels; least mean squares methods; maximum likelihood estimation; phase shift keying; radiocommunication; receiving antennas; transmitting antennas; MIMO systems; ML equalizers; MMSE equalizers; binary phase shift keying; flat fading channels; frequency selective channels; transmitter antennas; wireless communication systems; Binary phase shift keying; Bit error rate; Equalizers; Fading; MIMO; Wireless communication; Binary Phase Shift Key (BPSK); Bit error rate (BER); Maximum likelihood (ML); Minimum mean-squared error (MMSE); Quadrature Phase Shift Key (QPSK);
Conference_Titel :
Artificial Intelligence, Modelling and Simulation (AIMS), 2013 1st International Conference on
Conference_Location :
Kota Kinabalu
Print_ISBN :
978-1-4799-3250-4
DOI :
10.1109/AIMS.2013.75
