Bounds on SIMO and MIMO Channel Estimation and Equalization with Side Information
Journal of VLSI Signal Processing Systems
Fractionally-sampled blind channel estimation for a mobile communication system
Mobility '08 Proceedings of the International Conference on Mobile Technology, Applications, and Systems
IEEE Transactions on Wireless Communications
Considerations of point-to-multipoint qos based route optimization using PCEMP
EUC'05 Proceedings of the 2005 international conference on Embedded and Ubiquitous Computing
Wireless Personal Communications: An International Journal
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A deterministic algorithm was proposed for channel identification in block communication systems. The method assumed that the channel has a finite impulse response (FIR) and that null guard intervals of length greater than the channel order are inserted between successive blocks to prevent interblock interference and allow block synchronization. In the absence of noise, the algorithm provides error-free channel estimates, using a finite number of received data, without requiring training sequences and without imposing a restriction neither on the channel, except for finite order and time invariance, nor on the symbol constellation. Using small perturbation analysis, we derive approximate expressions of the estimated channel covariance matrix, which are used to quantify the resilience of the estimation algorithm to additive noise and channel fluctuations. Specifically, we consider channel fluctuations induced by transmitter/receiver relative motion, asynchronism, and oscillators' phase noise. We also compare the channel estimation accuracy with the Cramer-Rao bound (CRB) and prove that our estimation method is statistically efficient at practical SNR values for any data block length. Finally, we validate our theoretical analysis with simulations and compare our transmission scheme with an alternative system using training sequences for channel estimation