Channel estimation and equalization with block interleavers

The problem of channel estimation and equalization is considered for the block interleaved transmission over diversity channels. Effects on channel estimation and equalization from the amount of training symbols, the depth of the interleavers and the size of data packets are investigated by evaluating the Cramer-Rao bound (CRB). The simulation results show that the block interleaved transmission may offer considerable gain in estimation and equalization performance.

[1]  P. Sindhu,et al.  Retransmission Error Control with Memory , 1977, IEEE Trans. Commun..

[2]  John J. Metzner,et al.  Efficient Selective Repeat ARQ Strategies for Very Noisy and Fluctuating Channels , 1985, IEEE Trans. Commun..

[3]  Steven Kay,et al.  Modern Spectral Estimation: Theory and Application , 1988 .

[4]  D. Slock,et al.  Cramer-Rao bounds for semi-blind, blind and training sequence based channel estimation , 1997, First IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications.

[5]  Daniel J. Costello,et al.  ARQ schemes for data transmission in mobile radio systems , 1984, IEEE Transactions on Vehicular Technology.

[6]  Anders Furuskar,et al.  EDGE: enhanced data rates for GSM and TDMA/136 evolution , 1999, IEEE Wirel. Commun..

[7]  Elisabeth De Carvalho,et al.  Semi-blind methods for FIR multichannel estimation , 2000 .