Space-time-frequency coded OFDM over frequency-selective fading channels
IEEE Transactions on Signal Processing
Space-time-multipath coding using digital phase sweeping or circular delay diversity
IEEE Transactions on Signal Processing
Space-time-Doppler block coding for correlated time-selective fading channels
IEEE Transactions on Signal Processing
Time-Variant Channel Estimation Using Discrete Prolate Spheroidal Sequences
IEEE Transactions on Signal Processing
Space-time block codes from orthogonal designs
IEEE Transactions on Information Theory
Single-carrier space-time block-coded transmissions over frequency-selective fading channels
IEEE Transactions on Information Theory
Diversity and multiplexing: a fundamental tradeoff in multiple-antenna channels
IEEE Transactions on Information Theory
Maximum-diversity transmissions over doubly selective wireless channels
IEEE Transactions on Information Theory
Orthogonal multiple access over time- and frequency-selective channels
IEEE Transactions on Information Theory
Fundamental Limits of Linear Equalizers: Diversity, Capacity, and Complexity
IEEE Transactions on Information Theory
A simple transmit diversity technique for wireless communications
IEEE Journal on Selected Areas in Communications
Space-time block coding for frequency-selective and time-varying channels
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Performance Analysis of the Cooperative ZP-OFDM: Diversity, Capacity and Complexity
Wireless Personal Communications: An International Journal
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In this paper, we present a new space-time block code for time-and frequency-selective (doubly-selective) channels. It can be interpreted as the extension of the Alamouti code to doubly-selective channels, and relies on a joint time-frequency reversal of the transmitted sequences. Under certain channel conditions, the proposed space-time block code belongs to the class that achieves full spatial, delay, and Doppler diversity using a maximum-likelihood (ML) receiver, as well as a linear zero-forcing (LZF) or linear minimum mean-squared error (LMMSE) receiver. For realistic doubly-selective channels, a real-valued linear data model is presented, for which different receiver structures can be developed.