Pulse or digital communications – Equalizers – Automatic
Reexamination Certificate
2007-10-30
2007-10-30
Payne, David C. (Department: 2611)
Pulse or digital communications
Equalizers
Automatic
C375S229000, C375S230000, C333S018000, C333S02800T
Reexamination Certificate
active
10660228
ABSTRACT:
An adaptive equalizer finite impulse response (FIR) filter for high-speed communication channels with modest complexity, where the filter is iteratively updated during a training sequence by a circuit performing the update:in-line-formulae description="In-line Formulae" end="lead"?h(t+1)=h(t)+μ[sgn{d(t)}−sgn{z(t)−Kd(t)}]sgn{x(t)},in-line-formulae description="In-line Formulae" end="tail"?whereh(t) is the filter vector representing the filter taps of the FIR filter,x(t) is the data vector representing present and past samples of the received data x(t), d(t) is the desired data used for training, z(t) is the output of the FIR filter, μ determines the memory or window size of the adaptation, and K is a scale factor taking into account practical limitations of the communication channel, receiver, and equalizer. Furthermore, a procedure and circuit structure is provided for calibrating the scale factor K.
REFERENCES:
patent: 0 751 653 (1997-01-01), None
Shivaling S. Mahant-Shetti et al., “The Log-Log LMS Algorithm,” Acoustics, Speech, and Signal Processing, 1997, pp. 2357-2360, XP010226414, IEEE Computer Los Alamitos, CA, U.S.A.
A. Carusone et al., “Analogue Adaptive Filters: Past and Present,” IEE Proc.-Circuits Devices Syst., Feb. 2000, pp. 82-90, vol. 147, No. 1, IEE, Stenvenage, GB.
Proakis, “The LMS Algorithm,”Digital Communications, 1995, pp. 639-642, XP-002311907, Chapter 11: Adaptive Equalization, McGraw-Hill, Singapore.
PCT International Search Report, International Application No. PCT/US2004/029175, dated Jan. 17, 2005, 4 pages.
Balamurugan Ganesh
Casper Bryan K.
Jaussi James E.
Mooney Stephen R.
File Erin M.
Intel Corporation
Payne David C.
Schwegman Lundberg & Woessner, P.A.
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