Editorial
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Editorial Dirk Slock Mobile Communication Department, EURECOM Institute, 2229 route des Cretes, BP 193, 06904 Sophia Antipolis Cedex, France Email: [email protected]
Vahid Tarokh Department of EECS MIT, Cambridge, MA 02139, USA Email: [email protected]
Xiang-Gen Xia Department of ECE, University of Delaware, Newark, DE 19716, USA Email: [email protected]
This is the second part of the special issue “Space-Time Coding and Its Applications.” In this part, there are ten papers covering capacity of space-time coded systems, space-time code designs, decoding methods for space-time coded transmissions, and MIMO systems. The first paper by C. B. Papadias and G. J. Foschini is in the area of capacity issues of space-time coded MIMO systems. This paper considers some capacity issues of some space-time coded systems. It proposes attainable capacities that mean the capacities achieved by different techniques with the use of progressively stronger known encoding/decoding techniques. The second three papers are in the area of space-time code designs. The paper by W. Firmanto, B. Vucetic, J. Yuan, and Z. Chen presents a design of space-time turbo trellis coded modulation by proposing a new recursive space-time trellis coded modulation. The proposed scheme is less than 3 dB away from the theoretical capacity bound for MIMO channels. The paper by H.-J. Su and E. Geraniotis considers some detailed design issues and tradeoffs of a space-time coded MIMO system. The paper by S. A. Zummo and S. A. Al-Semari presents an 8PSK trellis space-time code design that is suitable for rapid fading channels. They propose two approaches or their design: (i) to maximize the symbol-wise Hamming distance between signals leaving from or remerging to the same encoder’s state; (ii) to partition a set based on maximizing the sum of squared Euclidean distances and also the branch-wise Hamming distance. The next three papers focus on the topic of channel estimation for space-time coded systems. The paper by B. Chen, A. P. Petropulu, and L. De Lathauwer addresses the problem
of blind identification of a convolutive MIMO system with more inputs than outputs. It considers the problem in the frequency domain where, for each frequency, it constructs two tensors based on cross-polyspectra of the output. Innovative solutions are proposed to resolve frequency dependent scaling and permutation ambiguities. The paper by H. A. C¸ırpan, E. Panayırcı, and E. C¸ekli considers the problem of blind estimation of space-time coded signals along with the channel parameters. In this paper, both conditional and unconditional maximum likelihood approaches are developed and iterative solutions are proposed. The paper by K. F. Lee and D. B. Williams considers space-time coded orthogonal frequency division multiplexing (OFDM) systems with multi-transmit antennas. In this paper, a low complexity, bandwidth efficient, pilot-symbol-assisted channel estimator for multi-transmit antenna OFDM systems is proposed. The final three papers are in the area of decoding/ demodulation of space-tim
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