CHANNEL-ESTIMATION AND EQUALIZATION ALGORITHMS FOR 8-PSK CELLULAR SYSTEM
Channel-estimation scheme for an 8-PSK enhanced data rates for GSM evolution (EDGE) system with fast time-varying and frequency-selective fading channels. Mathematical derivation and simulation results show the channel impulse response (CIR) of the fast fading channel is modeled as a linear function of time during a radio burst in the EDGE system. Therefore, a least-squares-based method is designed using Matlab along with the modified burst structure for time-varying channel estimation. Given that the pilot-symbol blocks are located at the front and the end of the data block, the LS-based method is able to estimate the parameters of the time-varying CIR accurately using linear interpolation. The time-varying estimation algorithm does not cause an error floor that existed in the adaptive algorithms due to a nonideal channel tracking. Besides, the time-varying CIR in the EDGE system is not in its minimum-phase form, as is required for low-complexity reduced state equalization methods. In order to maintain good system performance, a Cholesky-decomposition method is introduced in front of the reduced-state equalizer to transform the time-varying CIR into its minimum-phase equivalent form. Matlab simulation results show that the Channel Estimation and Equalization algorithms are very well suited for the time-varying channel estimation and equalization, and a good bit-error-rate performance is achieved even at high Doppler frequencies up to 300 Hz with low complexity.
SUMMARY OF CHANNEL ESTIMATION AND EQUALIZATION ALGORITHMS
Reference Paper: Fast Time-Varying Dispersive Channel Estimation and Equalization for an 8-PSK Cellular System
Author’s Name: Sang-Yick Leong, Jingxian Wu, Chengshan Xiao, and Jan C. Olivier
Source: IEEE
Year: 2006
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