Blind ZF equalization with controlled delay robust to order over estimation
Signal Processing - From signal processing theory to implementation
A blind MIMO channel estimation method robust to order overestimation
Signal Processing - Special issue on independent components analysis and beyond
Blind multiuser detection for long-code CDMA systems with transmission-induced cyclostationarity
EURASIP Journal on Wireless Communications and Networking - Special issue on advanced signal processing algorithms for wireless communications
Blind estimation of MIMO channels with an upper bound for channel orders
Signal Processing
Blind estimation of signal in periodic long-code DSSS communications
SARNOFF'09 Proceedings of the 32nd international conference on Sarnoff symposium
IEEE Transactions on Wireless Communications
IEEE Transactions on Signal Processing
SOVA decoding with blind channel estimation in a SIMO FIR channel
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
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Blind channel identification and equalization have attracted a great deal of attention due to their potential application in mobile communications and digital TV systems. In this paper, we present a new algorithm that utilizes second-order statistics for multichannel parameter estimation. The algorithm is simple and relies on an outer-product decomposition. Its implementation requires no adjustment for single- or multiple-user systems. This new algorithm can be viewed as a generalization of a linear prediction algorithm. It is capable of generating more accurate channel estimates and is more robust to overmodeling errors in channel order estimates. The superior performance of this new algorithm is demonstrated through simulation examples