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Statistical Estimation of Fast Varying Channels for Cellular Mobile Telecommunications Systems

Abstract : The time variant environment in fast channels severely impacts on the performances of classical equal-ization techniques. A method is proposed here to circumvent this problem, particularly in the severe channel with fast behaviour. To improve the Bit Error Rate (BER) at the receiver, a new approach is proposed for the channel impulse response (CIR) estimation in the Enhanced Data rates for GSM Evolution (EDGE) cellular system. The computation of the CIR h(t) (finite impulse response filter) is performed by using the Least Squares algorithm. Then, a statistical estimation of the CIR is achieved to update the coefficients of the equalizer filter. Computer simulation results show that statistical estimation (CIR re-estimation) provides significant improvement with 250 km/h vehicle speed (RA250): the bit error rate (BER) is 20% lowered for data bits far from the middle of the burst.
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https://hal-uphf.archives-ouvertes.fr/hal-03508978
Contributor : Iyad Dayoub Connect in order to contact the contributor
Submitted on : Monday, January 3, 2022 - 10:28:44 PM
Last modification on : Monday, January 17, 2022 - 5:28:05 PM

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Iyad Dayoub, M. Zaizouni, Atika Rivenq, J.M. Rouvaen. Statistical Estimation of Fast Varying Channels for Cellular Mobile Telecommunications Systems. Wireless Personal Communications, Springer Verlag, 2003, 24 (4), pp.527-536. ⟨10.1023/A:1023275221420⟩. ⟨hal-03508978⟩

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