Written in English
Thesis (Ph.D.) - Loughborough University of Technology, 1994.
|Statement||by Yousef S. Hwegi.|
Adaptive Equalization Algorithms: For Periodically Varying Fading Channels [Qadri Mayyala] on vanbuskirkphotos.com *FREE* shipping on qualifying offers. Digital transmission systems such as voice and video communications are superior to analog transmission in mainly due to its higher reliability in noisy environments. However. This paper addresses the problem of adaptive multiple-input multiple-output (MIMO) equalization of time-varying channels (TVC).The proposed technique is based on Kalman filtering and decision. In this paper, we propose a new adaptive technique for blind equalisation for fast time-varying channels. The proposed approach is based on fitting the probability density function (pdf) of the equalizer output to the desired pdf of the corresponding symbol alphabet. It is therefore of no surprise that most of the research in FBMC/OQAM receiver design has relied on the assumption of channels that are slowly varying in frequency and time with respect to the subcarrier spacing and MC symbol duration, respectively. The motivation behind this simplification is to view the problems in a way similar to OFDM.
preferred scheme is to exploit adaptive equalizers. An adaptive equalizer is an equalization filter that automatically adapts to time-varying properties of the communication channel. It is a filter that self-adjusts its transfer function according to an optimizing algorithm. The rest of . change with time k). • For adaptive equalizers, gnk is updated periodically based on the current channel characteristics. Adaptive equalization When the channel is time-varying (LTV), it is necessary to update the equalizer coefﬁcients in order to track the channel changes. An adaptive equalizer is an equalizer that automatically adapts to time-varying properties of the communication channel. It is frequently used with coherent modulations such as phase shift keying, mitigating the effects of multipath propagation and Doppler spreading. Adaptive equalizers are a subclass of adaptive filters. An adaptive decision feedback equalizer for time-varying frequency selective MIMO channels. / Rontogiannis, Athanasios A.; Kekatos, Vasileios; Berberidis, Kostas. IEEE 7th Workshop on Signal Processing Advances in Wireless Communications, SPAWC. (IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC).Cited by:
Adaptive Equalisation for Fading Digital Communication Channels Ph.D. Abstract for rapidly time-varying channels, by reducing the time delay in the channel estimation process. Finally, the use of confidence measures of the equaliser's symbol estimates in order. Adaptive Diversity Combining, Equalization and Sequence Decoding for Time-Varying Dispersive Channels A dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Electrical Engineering by Heung-No Lee channel is generally unknown and time varying, Adaptive Equalizer are used, in which an equalizer filter is designed, whose filter coefficients are varying in nature according to the change of channel and try to eliminate ISI and additive noise at each time. In adaptive equalization the received. Fast Time-Varying Dispersive Channel Estimation and Equalization for an 8-PSK Cellular System. Sang-Yick Leong, Jingxian Wu, Chengshan Xiao, SeniorMember,IEEE, and Jan C. Olivier. Abstract —In this paper, a novel channel-estimation scheme for an 8-PSK enhanced data rates for GSM evolution (EDGE) system with fast time-varying and frequency.