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Journal Articles Wireless Personal Communications Year : 2003

Statistical Estimation of Fast Varying Channels for Cellular Mobile Telecommunications Systems

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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.

Dates and versions

hal-03508978 , version 1 (03-01-2022)

Identifiers

Cite

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