Parameter Estimation and Error Reduction for OFDM-Based WLANs
IEEE Transactions on Mobile Computing
Performance analysis of space-time block codes in flat fading MIMO channels with offsets
EURASIP Journal on Wireless Communications and Networking
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
IEEE Transactions on Communications
Blind recognition of linear space-time block codes: a likelihood-based approach
IEEE Transactions on Signal Processing
Kalman filter-based channel tracking in MIMO-OSTBC systems
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Maximum-likelihood noncoherent OSTBC detection with polynomial complexity
IEEE Transactions on Wireless Communications
Optimal OSTBC sequence detection over unknown correlated fading channels
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
IEEE Transactions on Signal Processing
A linear programming receiver for blind detection of full rate space-time block codes
IEEE Transactions on Signal Processing
Performance Comparison of MIMO-STBC Systems with Adaptive Semiblind Channel Estimation Scheme
Wireless Personal Communications: An International Journal
Hi-index | 35.70 |
Space-time coding (STC) schemes for communication systems employing multiple transmit and receive antennas have been attracting increased attention. The so-called orthogonal space-time block codes (OSTBCs) have been of particular interest due to their good performance and low decoding complexity. In this paper, we take a systematic maximum-likelihood (ML) approach to the decoding of OSTBC for unknown propagation channels and unknown noise and interference conditions. We derive a low-complexity ML decoding algorithm based on cyclic minimization and assisted by a minimum amount of training data. Furthermore, we discuss the design of optimal training sequences and optimal information transfer to an outer decoder. Numerical examples demonstrate the performance of our algorithm.