Searching method for maximum-likelihood (ML) detection

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

Reexamination Certificate

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C375S262000, C375S316000, C375S340000, C375S264000

Reexamination Certificate

active

07920656

ABSTRACT:
The present invention relates to a method for searching a solution point of maximum-likelihood detection. The solution point locates at a symbol constellation. The method includes the following steps: determining a central point and a norm by a zero-forcing detection method; determining a searching range according to the central point and the norm; determining at least one qualified solution point according to the searching range; and determining the solution point of maximum-likelihood detection from the qualified solution points.

REFERENCES:
patent: 6404810 (2002-06-01), Girardeau et al.
patent: 6757331 (2004-06-01), Watanabe
patent: 6785341 (2004-08-01), Walton et al.
patent: 7292647 (2007-11-01), Giannakis et al.
patent: 7394860 (2008-07-01), Tong et al.
patent: 7424063 (2008-09-01), Yee
patent: 2003/0076890 (2003-04-01), Hochwald et al.
patent: 2004/0181419 (2004-09-01), Davis et al.
patent: 2005/0008091 (2005-01-01), Boutros et al.
Bertrand M Hochwald and Stephen Ten Brink, “Achieving Near-Capacity on a Multiple-Antenna Channel.”, IEEE Trans. Commun., Mar. 2003, pp. 389-399, vol. 51, No. 3.

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