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A Semi-Blind Channel Estimation Technique based on Second-Order Blind Method for CDMA Systems

Abstract : This paper aims at studying a semi-blind channel estimation scheme based on the subspace method or a carefully weighted linear prediction approach. The corresponding (composite) semi-blind cost functions result from a linear combination of the training-based cost function and a blind cost function. For each blind method, we show how to calculate the asymptotic estimation error. Therefore, by minimizing this error, we can properly tune the K-dimensional regularizing vector introduced in the composite semi-blind criterion (for K active users in the uplink). The asymptotic estimation error minimization is a K-variable minimization problem, which is a complex issue to deal with. We explicitly show under what conditions this problem boils down to K single-variable minimization problems. Our discussion is not limited to theoretical analyses. Simulation results performed in a realistic context (UMTS-TDD mode) are provided. In particular, we conclude about the potential of the proposed approach in real communication systems.
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Contributor : Samson Lasaulce Connect in order to contact the contributor
Submitted on : Tuesday, January 12, 2010 - 2:24:03 PM
Last modification on : Saturday, January 15, 2022 - 3:57:22 AM
Long-term archiving on: : Friday, June 18, 2010 - 12:44:56 AM


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  • HAL Id : hal-00446291, version 1


Samson Lasaulce, Philippe Loubaton, Eric Moulines. A Semi-Blind Channel Estimation Technique based on Second-Order Blind Method for CDMA Systems. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2003, 51 (7), pp.1894-1904. ⟨hal-00446291⟩



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