Matrix analysis and applied linear algebra
Matrix analysis and applied linear algebra
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
Wireless Communication Systems: Advanced Techniques for Signal Reception
Wireless Communication Systems: Advanced Techniques for Signal Reception
A fast least-squares algorithm for linearly constrained adaptivefiltering
IEEE Transactions on Signal Processing
Adaptive power techniques for blind channel estimation in CDMA systems
IEEE Transactions on Signal Processing
Capon multiuser receiver for CDMA systems with space-time coding
IEEE Transactions on Signal Processing
A road to future broadband wireless access: MIMO-OFDM-Based air interface
IEEE Communications Magazine
A simple transmit diversity technique for wireless communications
IEEE Journal on Selected Areas in Communications
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In this paper we proposed a linearly constrained minimum variance receiver for a space-time coded multicarrier (MC) CDMA system in frequency selective fading channels. It is shown that in the proposed receiver the channel can be blindly estimated as the eigenvector that corresponds to the maximum eigenvalue of an autocorrelation matrix, and then, efficient algorithms for subspace tracking can be used. Computer simulations shows that the proposed channel estimation algorithm achieves performance comparable to traditional algorithms with less computational cost.