Systems and methods for hybrid-MIMO equalization

Pulse or digital communications – Equalizers

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Reexamination Certificate

active

07974334

ABSTRACT:
Embodiments provide systems and methods for a novel multiple-input multiple-output (MIMO) equalization technique that produces a channel matrix that contains partly real coefficients and partly complex coefficients, referred to herein as a hybrid-MIMO equalization. MIMO detectors can exploit the hybrid-MIMO equalization to reduce complexity. Some embodiments provide systems and methods for equalizing a communication channel comprising receiving as an input a channel output vector, dividing the input into two vectors, a first vector that remains a complex number and a second vector that contains only real numbers, separating the second vector into its real and imaginary components, and regrouping the first and second vectors into a hybrid channel output vector that contains both real and complex coefficients.

REFERENCES:
patent: 5642382 (1997-06-01), Juan
patent: 2004/0181419 (2004-09-01), Davis et al.
patent: 2005/0094742 (2005-05-01), Yee
patent: 2005/0170802 (2005-08-01), Oh et al.
patent: 2006/0085497 (2006-04-01), Sehitoglu
patent: 2006/0109891 (2006-05-01), Guo et al.
patent: 2006/0188008 (2006-08-01), Pan et al.
patent: 2006/0251164 (2006-11-01), Visoz et al.
patent: 2006/0280255 (2006-12-01), Hongming et al.
patent: 2007/0025392 (2007-02-01), Moorti et al.
patent: 2007/0081582 (2007-04-01), Ginis et al.
patent: 2007/0121764 (2007-05-01), Chen et al.
patent: 2007/0263744 (2007-11-01), Mostafa
Barry, J. R. et al.; Digital Communication, 3rd Ed.; 2004; pp. 517-521; Chpt. 10, 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.
Damien, M. O. et al.; “On maximum-likelihood detection and the search for the closest lattice point;” IEEE Trans. on Info. Theory; Oct. 2003; pp. 2389-2402; vol. 49, No. 10.
Foschini, G. J. et al.; “Simplified processing for wireless communication at high spectral efficiency;” IEEE J. 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 Trans. on Comm.; Mar. 2003; pp. 389-399; vol. 51, No. 3.
Schnorr, C. P. and Euchner, M.; -Euchner “Lattice Basis Reduction: Improved Practical Algorithms and Solving Subset Sum Problems” Math. Programming, 1994, pp. 181-191, vol. 66.
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, p. 2290-2294, p. 2290-2294, vol. 48.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Systems and methods for hybrid-MIMO equalization 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 hybrid-MIMO equalization, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Systems and methods for hybrid-MIMO equalization will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-2666342

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.