Iterative Decoding of Multiple Descriptions
DCC '99 Proceedings of the Conference on Data Compression
Experimental Studies of the 2.4-GHz IMS Wireless Indoor Channel
CNSR '05 Proceedings of the 3rd Annual Communication Networks and Services Research Conference
IEEE Transactions on Signal Processing
Hadamard-based soft decoding for vector quantization over noisy channels
IEEE Transactions on Information Theory
Space-time block codes from orthogonal designs
IEEE Transactions on Information Theory
Multiple-description vector quantization with lattice codebooks: design and analysis
IEEE Transactions on Information Theory
A simple transmit diversity technique for wireless communications
IEEE Journal on Selected Areas in Communications
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We study the design of index assignment based multiple description quantizers for multiple-antenna systems with slow Rayleigh fading. A time-interleaver is employed at the transmitter to provide independent channel instances for the multiple descriptions, and a maximum a posteriori (MAP) detector is employed at the receiver to jointly decode the multiple descriptions. The concatenation of index assignment, binary phase-shift keying modulators, space-time orthogonal block coder, multiple-antenna channel, and MAP detector is modeled as a discrete memoryless channel. We optimize multiple description vector quantizers using an upper bound of the channel transition probability achieved by the MAP detector. The proposed scheme of combining multiple description coding and space-time orthogonal block coding is shown to be superior to each individual coding scheme.