Lattice basis reduction: improved practical algorithms and solving subset sum problems
Mathematical Programming: Series A and B
Generating hard instances of lattice problems (extended abstract)
STOC '96 Proceedings of the twenty-eighth annual ACM symposium on Theory of computing
An efficient square-root algorithm for BLAST
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 02
Realizable MIMO decision feedback equalizers: structure and design
IEEE Transactions on Signal Processing
The finite-length multi-input multi-output MMSE-DFE
IEEE Transactions on Signal Processing
Integer parameter estimation in linear models with applications toGPS
IEEE Transactions on Signal Processing
A universal lattice code decoder for fading channels
IEEE Transactions on Information Theory
Closest point search in lattices
IEEE Transactions on Information Theory
Multiantenna technology for high-speed wireless internet access
Wireless internet handbook
A fast sphere decoding algorithm for space-frequency block codes
EURASIP Journal on Applied Signal Processing
Orthogonal space-time block codes with sphere packing
IEEE Transactions on Information Theory
A new decoding algorithm in MIMO-ZP-OFDM systems
ICDHM'07 Proceedings of the 1st international conference on Digital human modeling
IEEE Transactions on Signal Processing
Sparse representations and sphere decoding for array signal processing
Digital Signal Processing
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Multiple antenna systems are capable of providing high data rate transmissions over wireless channels. When the channels are dispersive, the signal at each receive antenna is a combination of both the current and past symbols sent from all transmit antennas corrupted by noise. The optimal receiver is a maximum-likelihood sequence detector and is often considered to be practically infeasible due to high computational complexity (exponential in number of antennas and channel memory). Therefore, in practice, one often settles for a less complex suboptimal receiver structure, typically with an equalizer meant to suppress both the intersymbol and interuser interference, followed by the decoder. We propose a sphere decoding for the sequence detection in multiple antenna communication systems over dispersive channels. The sphere decoding provides the maximum-likelihood estimate with computational complexity comparable to the standard space-time decision-feedback equalizing (DFE) algorithms. The performance and complexity of the sphere decoding are compared with the DFE algorithm by means of simulations.