Adaptive equalization method and adaptive equalizer

Details Adaptive equalization method and adaptive equalizer Adaptive equalization method and adaptive equalizer

2006-04-11

2006-04-11

Ghayour, Mohammed (Department: 2631)

Pulse or digital communications

Equalizers

C375S232000, C375S233000, C375S234000, C375S316000, C375S341000

Reexamination Certificate

active

07027497

ABSTRACT:
During reception of a training signal in a received signal R(n) an estimated impulse response value Hm(n) of an M-channel, and a tap coefficient G(n) of a linear filter111is calculated by an adaptive algorithm through the use of the received signal R(n) and the training signal b(n). For an information symbol of the received signal R(n), the received signal R(n) is subjected to linear filtering with the most recently calculated tap coefficient G(n), and the linear filtering output Z(n) and the most recently estimated impulse response value Hm(n) are used to calculate a soft decision value λ1. In the second and subsequent rounds of equalization, the likelihood b′(n) of a soft decision value λ2[b(n)] from a decoder is calculated, and a replica is generated by linear-filtering the likelihood b′(n) with an estimated impulse response value vector HL(n) obtained by approximating intersymbol interference with the current code b(n) to zero. A difference signal Rc(n) between the replica and the received signal is calculated, and the estimated impulse response value vector HL(n) is used to update the tap coefficient G(n). Then the signal Z(n) is obtained by linear-filtering the difference signal Rc(n) with the updated tap coefficient G(n), and the signal Z(n) and the estimated impulse response value vector HL(n) are used to calculate the soft decision value λ1.

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