Adaptive equalizer training circuit, modem apparatus and communication apparatus

• US 6,928,110 B2
• Filed: 05/22/2001
• Issued: 08/09/2005
• Est. Priority Date: 05/24/2000
• Status: Expired due to Fees

• Current Assignee: Panasonic Communications Company Limited (Panasonic Holdings Corporation)
• Original Assignee: Panasonic Communications Company Limited (Panasonic Holdings Corporation)
• Inventors: Noma, Nobuhiko, Mizutani, Mikio, Ougi, Toshiyuki
• Primary Examiner(s): Ha, Dac V.
• Application Number:
  US09/861,709
• Publication Number:
  US 20010048717A1
• Time in Patent Office: 1,540 Days
• Field of Search: 375/219, 375/220, 375/232, 375/229, 375/231, 375/236, 375/316, 375/368, 375/450, 370/278, 370/280, 370/281, 370/292, 370/291, 370/319, 370/343, 370/402, 370/465, 370/480, 708/405, 708/315, 708/322, 708/323, 455/296, 455/307
• US Class Current: 375/231
• CPC Class Codes: H04L 2025/03414 Multicarrier
• CPC Class Codes: H04L 2025/03471 Tapped delay lines H04L2025/03464 takes precedence
• CPC Class Codes: H04L 2025/03617 Time recursive algorithms H04L2025/03643 takes precedence
• CPC Class Codes: H04L 25/03012 operating in the time domain H04L25/03165, H04L25/03178 take precedence

Abstract

A training circuit for training a tap coefficient of an adaptive equalizer that performs error calculations in a training process and updating of the tap coefficient in a time area and thereby makes the tap coefficient converge stably in a short time.

Claims

1. An adaptive equalizer training circuit that performs a training process, the adaptive equalizer training circuit being connected to a transmitter via a transmission path and receiving a training signal from the transmitter, the adaptive equalizer training circuit comprising:

a training signal generator configured to generate the same training signal as the training signal received from the transmitter;

an initial impulse response calculator configured to correct a time difference between the training signal received from the transmitter in a training starting stage and the training signal generated by the training signal generator;

a target signal response updater configured to calculate a target signal by carrying out a convolutional calculation, the convolutional calculation being carried out, based on a tap coefficient updated by an error signal and the training signal generated by the training signal generator, the convolutional calculation being carried out in a time domain;

a tap coefficient updater comprising;

a convolutional calculator configured to carry out a convolutional calculation, based on the tap coefficient updated by the error signal and the training signal received from the transmitter, the convolutional calculation being carried out in the time domain;

a subtractor configured to calculate a difference between the convolutional calculation result obtained by the target signal response updater and the convolutional calculation result obtained by the convolutional calculator, the difference being calculated in the time domain; and

an error signal generator configured to generate the error signal, based on the difference calculated by the subtractor, the error signal being utilized by the target signal response updater and the convolutional calculator;

wherein the adaptive equalizer training circuit repeats the training process until the tap coefficient, updated by the tap coefficient updater, reaches a predetermined convergence condition.

2. The adaptive equalizer training circuit according to claim 1, wherein the initial impulse response calculator is further configured to:

calculate an impulse response of the training signal received form the transmitter via the transmission path;

detect a maximum power area of the calculated impulse response;

detect a time difference between the training signal received from the transmitter in the detected maximum power area and the training signal generated by the training signal generator; and

shift a time-axis of the training signal received from the transmitter, based on the detected amount of the time difference.

3. The adaptive equalizer training circuit according to claim 2, wherein a signal wave form of the maximum power area of the calculated impulse response is input to the target signal response updater as an initial value of the tap coefficient.

4. The adaptive equalizer training circuit according to claim 1, further comprising an averaging calculator configured to average the training signals received from the transmitter via the transmission path, wherein the tap coefficient updater utilizes the averaged training signal as the training signal received from the transmitter for updating the tap coefficient.

5. A modem apparatus, transmitting and receiving a signal according to a frequency multiplexing system, the frequency multiplexing system utilizing a plurality of frequencies, the modem apparatus comprising:

an adaptive equalizer training circuit configured to perform a training process, to be connected to a transmitter via a transmission path and to receive a training signal from the transmitter, the adaptive equalizer training circuit, comprising;

a training signal generator configured to generate the same training signal as the training signal received from the transmitter;

an initial impulse response calculator configured to correct a time difference between the training signal received from the transmitter in a training starting stage and the training signal generated by the training signal generator;

a target signal response updater configured to calculate a target signal by carrying out a convolutional calculation, the convolutional calculation being carried out, based on a tap coefficient updated by an error signal and the training signal generated by the training signal generator, the convolutional calculation being carried out in a time domain;

a tap coefficient updater comprising;

a convolutional calculator configured to carry out a convolutional calculation, based on the tap coefficient updated by the error signal and the training signal received from the transmitter by the signal generator, the convolutional calculation being carried out in the time domain;

a subtractor configured to calculate a difference between the convolutional calculation result obtained by the target signal response updater the and the convolutional calculation result obtained by the convolutional calculator, the difference being calculated in the time domain; and

an error generator configured to generate the error signal, based on the difference calculated by the subtractor, the error signal being utilized by the target signal response updater and the convolutional calculator;

wherein the active equalizer training circuit repeats the training process until the tap coefficient, updated by the tap coefficient updater, reaches a predetermined convergence condition.

6. An ADSL terminal apparatus equipped with a modem apparatus according to claim 5.

7. An ADSL station apparatus equipped with a modem apparatus according to claim 5.

8. A communication apparatus equipped with a modem apparatus according to claim 5.

9. An adaptive equalizer training method for performing a training process, in which a training signal is received from a transmitter via a transmission path, the adaptive equalizer training method comprising:

generating the same training signal as the training signal generated by the transmitter;

correcting a time difference between the training signal received from the transmitter in a training starting stage and the generated training signal;

calculating a target signal by carrying out a first convolutional calculation, the convolutional calculation being carried out, based on a tap coefficient updated by an error signal and the generated training signal, the convolutional calculation being carried out in a time domain;

carrying out a second convolutional calculation, based on a the tap coefficient updated by the error signal and the training signal received from the transmitter, the convolutional calculation being carried out in the time domain;

calculating a difference between a result of the first convolutional calculation and a result of the second convolutional calculation, the difference being calculated in the time domain;

generating the error signal, based on the calculated difference, the error signal being utilized for carrying out the first convolutional calculation and the second convolutional calculation; and

repeating the training process until the updated tap coefficient reaches a predetermined convergence condition.

10. The adaptive equalizer training method according to claim 9, wherein the correcting further comprises:

calculating an impulse response of the training signal received from the transmitter via the transmission path;

detecting a maximum power area of the calculated impulse response;

detecting a time difference between the training signal received from the transmitter in the detected maximum power area and the generated training signal; and

shifting a time-axis of the training signal received from the transmitter, based on the detected amount of the time difference.

11. The adaptive equalizer training method according to claim 10, wherein a signal wave form of the maximum power area of the calculated impulse response is utilized, as an initial value of the tap coefficient, for carrying out a second convolutional calculation.

12. The adaptive equalizer training method according to claim 9, further comprising:

averaging the training signals received from the transmitter via the transmission path, the averaged training signal being utilized as the training signal received from the transmitter for updating the tap coefficient.