Blind channel estimation for space-time coded WCDMA
EURASIP Journal on Wireless Communications and Networking - Special issue on multiuser MIMO networks
A New Iterative Decoder of Space-Time Data in Time Selective MIMO Channels
Wireless Personal Communications: An International Journal
Transmit delay structure design for blind channel estimation over multipath channels
EURASIP Journal on Wireless Communications and Networking
Wireless Personal Communications: An International Journal
Code combination for blind channel estimation in general MIMO-STBC systems
EURASIP Journal on Advances in Signal Processing
Blind channel estimation in orthogonally coded MIMO-OFDM systems: a semidefinite relaxation approach
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Blind recognition of linear space-time block codes: a likelihood-based approach
IEEE Transactions on Signal Processing
A linear programming receiver for blind detection of full rate space-time block codes
IEEE Transactions on Signal Processing
Iterative decoding and carrier frequency offset estimation for a space-time block code system
ICN'05 Proceedings of the 4th international conference on Networking - Volume Part II
DOA-Matrix decoder for STBC-MC-CDMA systems
ICN'05 Proceedings of the 4th international conference on Networking - Volume Part II
Performance Comparison of MIMO-STBC Systems with Adaptive Semiblind Channel Estimation Scheme
Wireless Personal Communications: An International Journal
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This paper presents a general framework for space-time codes (STCs) that encompasses a number of previously proposed STC schemes as special cases. The STCs considered are block codes that employ arbitrary redundant linear precoding of a given data sequence together with embedded training symbols, if any. The redundancy introduced by the linear precoding imposes structure on the received data that under certain conditions can be exploited for blind or semi-blind estimation of the transmitted sequence, a linear receiver that recovers the sequence, or both simultaneously. Algorithms based on this observation are developed for the single-user flat-fading case and then extended to handle multiple users, frequency-selective fading, as well as situations where the channel is rank deficient, or there are fewer receive than transmit antennas.