Reduction of Frequency Offset Using Joint Clock for OFDM Based Cellular Systems over Generalized Fading Channels (original) (raw)

This project addresses the problem of clock synchronization between a base station (BS) and a mobile station (MS). A conventional technique for clock synchronization is that the MS clock is derived from the downlink signal originated from a base station. In cellular systems, a base station and mobile stations need to be synchronized before data exchange. Since the base station clock reference is more accurate, a mobile station typically derives its clock reference from the base station. But the carrier frequency offset due to Doppler shift may have harmful effects on the local clock derivation. This project proposes a joint clock and frequency synchronization technique between a base station and a mobile station, which is effective even with Doppler shift. We derive the joint estimation algorithm by analyzing the phase and the amplitude distortion caused by the sampling frequency offset and the carrier frequency offset. Simulation results showing the effectiveness of the proposed algorithm will also be presented.

ML-based joint estimation of frequency and sampling clock offsets for OFDM systems

2008

In this paper, we present a joint algorithm to estimate the fine symbol timing and carrier frequency offsets of wireless orthogonal frequency division multiplexing (OFDM) signals. To jointly estimate synchronization parameters using the maximum likelihood (ML) criterion, we propose to transmit a special pilot symbol. By using a periodic training sequence, we convert the problem of obtaining the ML solution from searching exhaustively over the entire uncertainty range to that of solving a polynomial, thereby greatly reducing the computational load. With the proposed orthogonal and periodic training sequence, we obtain a closed-form expression for the synchronization parameters, hence greatly simplifying the algorithm complexity. Simulations demonstrate that the joint estimation method provides better accuracy than existing joint and separate sampling clock and carrier frequency offsets estimation algorithms.

Time and Frequency Synchronization in OFDM System

2014

Orthogonal frequency division multiplexing (OFDM) is one of the multicarrier modulation techniques, which transmits data in very high rate and efficiently mitigates the effects of multipath distortions as well as loss in bandwidth efficiency. However, OFDM systems are very sensitive towards synchronization error. Synchronization of an OFDM signal is required to find the symbol timing and carrier frequency offset (CFO). Before demodulation of subcarriers, either from explicit training data or using cyclic prefix of the OFDM signal we can get synchronization at receiver. After demodulation of the OFDM subcarriers, information about the synchronization can be obtained from training symbols embedded into the regular data symbol pattern. The estimation of synchronization error can be performed depending on the type of the training data. In this paper, it is focused on preamble based training data following IEEE802.11a preamble structure of the WLAN system and cyclic prefix based training...

Efficient frequency synchronization and channel estimation method for OFDM wireless systems

2010

Very efficient and robust frequency synchronization and channel estimation method based on pilot tone usage, for OFDM systems in the case of slow time varying channels is proposed. The presented method uses preamble consisting of just one OFDM symbol, for channel and frequency offset estimation and additional two pilot tones embedded in each data symbol, for the neutralization of the cumulative effect of frequency offset in the slow time varying channels. This method enables accurate estimation and correction of all frequency offset values, even those larger than subcarrier spacing. Simulation results show that OFDM system with the proposed frequency synchronization method keeps the BER performance close to the performance of the ideally synchronized system.

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