Efficient conjugate gradient based channel estimator

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

Reexamination Certificate

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Reexamination Certificate

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07409016

ABSTRACT:
In forming a current channel estimate from a received signal y, the received signal y is decoded to form data s, a convolution matrix Ŝis formed from a first portion of the data s, a matrix F1is formed from a second portion the data s such that the second portion of the data s includes data that is less recent that the data in the first portion of the data s, a matrix F2is formed from a third portion the data s such that the third portion of the data s includes data that is more recent than the data in the first portion of the data s, a predicted channel estimate hpredis determined, and a conjugate gradient algorithm is performed to determine the current channel estimate. The conjugate gradient algorithm is based on the received signal y, the matrix Ŝ, the matrices F1and F2, the predicted channel estimate hpred, and a previous channel estimate h1.

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T. Sarkar et al., “Accurate and Efficient Solution of Hankel Matrix Systems by FFT and the Conjugate Gradient Methods”, Intl. Conference on Acoustics, Speech & Signal Processing, Apr. 6-9, 1987, 4 pgs. (XP-000758077).
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