Publication Type:

Journal Article

Source:

International Journal of Applied Engineering Research, Research India Publications, Volume 10, Number 14, p.33914-33918 (2015)

URL:

http://www.scopus.com/inward/record.url?eid=2-s2.0-84940028436&partnerID=40&md5=ce96cfbd0dcc7f254adbebe6ddd0925c

Abstract:

Training sequence based channel estimation in combination with Decision Feedback Equalizer (DFE) is used for OFDM based communication receivers. Channel estimation is performed based on Extended Kalman Filter (EKF) algorithm where a two-step predictor corrector mechanism is carried out. In very high mobility environment for LTE downlink usual channel estimation algorithms are incapable due to its nonlinear nature. So an EKF is used for the estimation of complex-valued channel impulse response from the received signal in the non linear environment where the velocity is very large. EKF jointly estimates both time varying channel parameters as well as time correlation coefficients.. Furthermore a DFE is also modeled for eliminate the Inter Symbol Interference (ISI) and for better performance. Performance is evaluated by plotting Mean Square Error (MSE) as well as Bit Error rate (BER). © Research India Publications.

Notes:

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Cite this Research Publication

H. Damodaran, Sudheesh, P., and Jayakumar, M., “Extended kalman filter for channel estimation combined with decision feedback equalizer for very high mobility system”, International Journal of Applied Engineering Research, vol. 10, pp. 33914-33918, 2015.