Near-optimal multiple-input multiple-output (MIMO) channel...

Pulse or digital communications – Receivers – Particular pulse demodulator or detector

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

C375S260000, C375S267000, C375S324000, C375S347000

Reexamination Certificate

active

10631991

ABSTRACT:
A class of soft-input soft-output demodulation schemes for multiple-input multiple-output (MIMO) channels, based on the sequential Monte Carlo (SMC) framework under both stochastic and deterministic settings. The stochastic SMC sampler generates MIMO symbol samples based on importance sampling and resampling techniques, while the deterministic SMC approach recursively performs exploration and selection steps in a greedy manner. By exploiting the artificial sequential structure of the existing simple Bell Labs Layered Space Time (BLAST) detection method based on nulling and cancellation, the proposed algorithms achieve an error probability performance that is orders of magnitude better than the traditional BLAST detection schemes while maintaining a low computational complexity. Performance is comparable with that of the sphere decoding algorithm, with a much lower complexity. Both the stochastic and deterministic SMC detectors can be employed as the first-stage demodulator in an iterative or turbo receiver in coded MIMO systems.

REFERENCES:
patent: 2002/0034261 (2002-03-01), Eidson et al.
patent: 2004/0042556 (2004-03-01), Medvedev et al.
patent: 2006/0188044 (2006-08-01), Wang et al.
G.J. Foschini and M.J. Gans, On Limits of Wireless Communications in a Fading Environment when Using Multiple Antennas,Wireless Personal Commun., 6(3):311-335, 1998.
I.E. Telatar, Capacity of Multi-antenna Gaussian Channels,Eur. Trans. Telecommun., 10(6):585-595, Nov. 1999.
C.N. Chuah, D.N.C. Tse, J.M. Kahn, and R.A. Valenzuela, Capacity Scaling in MIMO Wireless Systems Under Correlated Fading,IEEE Trans. Inform. Theory, 48(3):637-650, Mar. 2002.
P.W. Wolniansky, G.J. Foschini, G.D. Golden, and R.A. Valenzuela, V-BLAST: An Architecture for Realizing Very High Data Rates Over the Rich-Scattering Wireless Channel, InProc.1998 Int. Symp. Sig. Sys. Elect.(ISSSE′98), Pisa, Italy, Sep. 1998.
G.J. Foschini, Layered Space-Time Architecture for Wireless Communication in a Fading Environment When Using Multi-Element Antennas,Bell Labs, Tech. J., 1(2):41-59, 1996.
G.D. Golden, G.J. Foschini, R.A. Valenzuela, and P.W. Wolniansky, Detection algorithm and initial laboratory results using V-BLAST space-time communication architecture,Elect. Let., 35:14-16, Jan. 1999.
O. Damen, A. Chkeif, and J. Belfiore, Lattice Code Decoder for Space-Time Codes,IEEE Commun. Let., 4(5):161-163, May 2000.
B.M. Hochwald and S.T. Brink, Archieving Near-Capacity on a Multiple-Antenna Channel,Submitted to IEEE Trans. Commun., Apr. 2002.
A.M. Chan and I. Lee, A New Reduced-Complexity Sphere Decoder For Multiple Antenna Systems, InProc. 2002 Int. Commun. Conf.(ICC′02), New York, N.Y., Apr. 2002.
A. Doucet, N. deFreitas, and N.J. Gordon (eds.),Sequential Monte Carlo Methods in Practice, New York: Springer-Verlag, 620pp., 2001.
X. Wang, R. Chen, and J.S. Liu, Monte Carlo Bayesian Signal Processing for Wireless Communications,J. VLSI Sig. Proc., 30(1-3):89-105, Jan.-Feb.-Mar. 2002.
R. Chen, X.Wang, and J.S. Liu, Adaptive Joint Detection and Decoding in Flat-Fading Channels via Mixture Kalman Filtering,IEEE Trans. Info. Theory, 46(6):2079-2094, Sep. 2000.
J.S. Liu and R. Chen, Sequential Monte Carlo Methods for Dynamic Systems,J. Amer. Stat. Assoc., 93:1302-1044, 1998.
R. Chen and J.S. Liu, Mixture Kalman filters,J. Amer. Stat. Assoc.(B), 62:493-509, 2000.
Z. Yang and X. Wang, A Sequential Monte Carlo Blind Receiver for OFDM Systems in Frequency-Selective Fading Channels,IEEE Trans. Sig. Proc., 50(2):271-280, Feb. 2002.
A.M. Tonello, On Turbo Equalization of Interleaved Space-Time Codes,In Proc. 2001 Fall Vehi. Tech. Conf.(VTC-fall′01), Oct. 2001
H. Dai and A.F. Molisch, Multiuser Detection for Interference-Limited MIMO Systems, InProc. 2001 Spring Vehi. Tech. Conf.(VTC-spring′01), May 2002.
M. Sellathurai and S. Haykin, TURBO-BLAST for Wireless Communications: Theory and Experiments,IEEE Trans. Sig. Proc., 50(10):2538-2546, Oct. 2002.
X. Wang and H.V. Poor, Iterative (Turbo) Soft Interference Cancellation and Decoding for Coded CDMA,IEEE Trans. Commun., 47(7):1046-1061, Jul. 1999.
L.R. Bahl, J. Cocke, F. Jelinek, and J. Raviv, Optimal Decoding of Linear Codes for Minimizing Symbol Error Rate,IEEE Trans. Info. Theory, 20(3):284-287, Mar. 1974.
T.L. Marzetta, BLAST Training: Estimating Channel Characteristics for High Capacity Space-Time Wireless,In Proc. 37th Annual Allerton Conf. Commun., Compu., &Control, Sep. 1999.
Q. Sun, D.C. Cox, A. Lozano, and H.C. Huang, Training-Based Channel Estimation for Continuous Flat Fading BLAST,In Proc. 2002 Int. Conf. Commun.(ICC′02), New York, N.Y., Apr. 2002.
A. Doucet, S.J. Godsill, and C. Andrieu, On sequential Monte Carlo sampling methods for Bayesian filtering,Stat.&Comp., 10(3):197-208, 2000.
N.J. Gordon, D.J. Salmond, and A.F.M. Smith, Novel approach to nonlinear
on-Gaussian Bayesian state estimation,In 1993 IEE Proc., F. Radar Sonar and Navigations, 140(2), Apr. 1993.
G. Kitagawa, Monte Carlo Filter and Smoother for Non-Gaussian Nonlinear State Space Models,J. Comput. Graph. Statist., 5(1):1-25, 1996.
Bin Dong et al., “A New Class of Soft MIMO Demodulation Algorithms”,IEEE Transactions on Signal Processing, Nov. 2003, vol. 51, No. 11, pp. 2752-2763.
Dong Guo et al., “Blind Detection in MIMO Systems via Sequential Monte Carlo”,IEEE Journal on Seelcted Areas In Communications, Apr. 2004, vol. 21, No. 3, pp. 464-473.
Xiaodong Wang et al., “Blind Turbo Equalization in Gaussian and Impulsive Noise”,IEEE Transactions on Vehicular Technology, Jul. 2001, vol. 50, No. 4, pp. 1092-1105.
Search Report dated Jun. 15, 2004 for GB0404318.8.

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

Near-optimal multiple-input multiple-output (MIMO) channel... does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Near-optimal multiple-input multiple-output (MIMO) channel..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Near-optimal multiple-input multiple-output (MIMO) channel... will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-3920362

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