Systems and methods for lattice enumeration-aided detection

Details Systems and methods for lattice enumeration-aided detection Systems and methods for lattice enumeration-aided detection

2011-05-17

2011-05-17

Ahn, Sam K (Department: 2611)

Pulse or digital communications

Synchronizers

Frequency or phase control using synchronizing signal

Reexamination Certificate

active

07945008

ABSTRACT:
Embodiments provide systems and methods for improved multiple-input, multiple-output (MIMO) detection comprising generating at least one list of candidate vectors by employing lattice enumeration which approximates hyperellipsoid detection search space and calculating a reliability of the candidate vectors. At least one advantage to embodiments is that improved detection occurs because detection can be performed in a search space defined by the eigenvectors (which define the general shape of an ellipsoid/hyperellipsoid, depending upon number of dimensions) and eigenvalues (which provide the appropriate scaling in each direction of the eigenvectors) of the effective channel.

REFERENCES:
patent: 7233634 (2007-06-01), Hassell Sweatman et al.
patent: 7317771 (2008-01-01), Brunel
patent: 2005/0157806 (2005-07-01), Walton et al.
patent: 2009/0122897 (2009-05-01), Belogolovy et al.
Barry, J. R. et al; Digital Communication; 3rd Ed.; 2004; pp. 517-521; Kluwer Academic Publishers.
Chan, A. and Lee, I., “A new reduced-complexity sphere decoder for multiple antenna systems”; IEEE Conference on Communications, 2002, pp. 460-464.
Foschini, G. J. et al.; “Simplified Processing for High Spectral Efficiency Wireless Communication Employing Multi-Element Arrays,” IEEE Journal. Selected Areas in Communication.; 1999; pp. 1841-1852; vol. 17, No. 11.
Hochwald, B. M. and ten Brink, S.; “Achieving Near-Capacity on a Multiple-Antenna Channel”; IEEE Transcripts on Communications.; Mar. 2003, pp. 389-399, vol. 51, No. 3.
Waters, D. W.,“Signal Detection Strategies and Algorithms for Multiple-Input Multiple-Output Channels”; Georgia Institute of Technology; PhD Dissertation; Dec. 2005, available at http://etd.gatech.edu.
Wubben, W. et al., “Efficient algorithm for decoding layered space-time codes;” Electronic Letters; Oct. 2001; pp. 1348-1350; vol. 37, No. 22.
Zhao W. and Giannakis, G. B.; “Sphere Decoding algorithms with improved radius search”; IEEE Communications and Networking Conference, Mar. 2004, pp. 2290-2294, vol. 48.
Chan, Albert M., A New Reduced-Complexity Sphere Decoder for Multiple Antenna Systems; 2002 IEEE; pp. 460-464.
Radosavljevic, Predag and Cavallaro, Joseph R., Soft Sphere Detection with Bounded Search for High-Throughput MIMO Receivers; pp. 1175-1179, 2006.
Wong, Kai-Kit; On the Decoding Order of MIMO Maximum-Likelihood Sphere Decoder: Linear and Non-Linear Receivers; 2004 IEEE; pp. 698-703.
Bertozzi, Tanya and Le Ruyet, Didier; “Iterative Detection in MIMO Channels Using Particle Filtering”; IEEE Communications Society, 2004 IEEE; pp. 2694-2698.

Affiliated with

Also associated with

Rating

Systems and methods for lattice enumeration-aided detection does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Systems and methods for lattice enumeration-aided detection, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Systems and methods for lattice enumeration-aided detection will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-2691325