IMPULSIVE NOISE SUPPRESSION SCHEME IN ORTHOGONAL FREQUENCY DIVISION MULTIPLEXING

• US 20070280097A1
• Filed: 06/06/2006
• Published: 12/06/2007
• Est. Priority Date: 06/06/2006
• Status: Active Grant

• Current Assignee: Himax Technologies Ltd. (Himax Technologies Incorporated)
• Original Assignee: Himax Technologies Incorporated
• Inventors: Yang, Yen-Wen, Cheng, Shin-Shiuan
• Granted Patent: US 7,856,005 B2
• Time in Patent Office: Days
• US Class Current: 370/206
• CPC Class Codes: H04L 27/2624 by soft clipping
• CPC Class Codes: H04L 27/2647 Arrangements specific to the receiver only equalisation H04L27/01

Abstract

This invention provides an impulsive noise suppression method in orthogonal frequency division multiplexing. The method comprises an equalization and de-mapping step for estimating a preliminary estimation of signal and a total noise estimation by utilizing ideal channel estimation, de-mapping, and pilot insertion technique on received signal; and a SNR comparison step for determining a SNR by dividing said preliminary estimation of signal and said total noise estimation and comparing said SNR with a threshold value.

Claims

1. An impulsive noise suppression method in orthogonal frequency division multiplexing, comprising:

transforming a received signal into a frequency domain;

equalizing an output of said transforming step based on an ideal channel estimation;

converting an output of said equalizing step to a preliminary signal estimation of a transmitted base-band symbol;

determining an estimation of total noise;

calculating a signal to noise ratio by dividing said preliminary signal estimation with said estimation of total noise; and

performing an impulse noise suppression step when said signal to noise ratio is lower than a threshold value.

2. The impulsive noise suppression method of claim 1, wherein said transforming step is a fast Fourier transform.

3. The impulsive noise suppression method of claim 1, wherein said converting step comprises suppressing sub-carriers to zero, replacing pilot sub-carriers by known values, and de-mapping data transmission sub-carriers to nearest positions in a constellation plot.

4. The impulsive noise suppression method of claim 1, wherein said determining step comprises multiplying said ideal channel estimation to the difference between the output of said equalizing step and said preliminary signal estimation.

5. The impulsive noise suppression method of claim 1 further comprising:

processing the output of said equalizing step when said signal to noise ratio is greater than said threshold value;

or

processing the output of said impulse noise suppression step when said signal to noise ratio is lesser than said threshold value, wherein said processing step is a Viterbi Decoding process.

6. The impulsive noise suppression method of claim 1, wherein said impulsive noise suppression step further comprising:

transforming said estimation of total noise into a time domain representation of said estimation of total noise;

re-constructing impulsive noise from said time domain representation of said estimation of total noise;

transforming said impulsive noise into frequency representation; and

calculating a noise-suppressed signal by using the difference between the output of said equalizing step and the quotient of said impulsive noise to said ideal channel estimation.

7. An impulsive noise suppression method in orthogonal frequency division multiplexing, comprising:

estimating a preliminary estimation and a total noise estimation by utilizing an ideal channel estimation and de-mapping and pilot insertion technique on the received signal;

determining a signal to noise ratio by dividing said preliminary estimation by said total noise estimation; and

performing an impulse noise suppression step when said signal to noise ratio is lesser than a threshold value.

8. The impulsive noise suppression method of claim 7 further comprising:

processing an output of an equalizing step when said signal to noise ratio is greater than said threshold value, or

processing an output of said impulse noise suppression step when said signal to noise ratio is lesser than said threshold value, wherein said processing step is a Viterbi Decoding process.

9. The impulsive noise suppression method of claim 7, wherein said impulse noise suppression step further comprising:

estimating an impulsive noise when said signal to noise ratio is less than said threshold value.

10. An impulsive noise suppression system in orthogonal frequency division multiplexing, comprising:

fast Fourier transform (FFT) means to transform a received signal;

frequency domain equalization means to equalize an output of said FFT means base on an ideal channel estimation;

de-mapping and pilot insertion means to convert an output of said equalization means into a preliminary signal estimation of transmitted base-band symbol;

noise estimation means to determine an estimation of total noise by multiplying said ideal channel estimation to the difference between the output of said equalization means and said preliminary signal estimation;

SNR (signal to noise ratio) comparison means to determine a SNR by dividing said preliminary signal estimation by said estimation of total noise and compares said SNR to a threshold value; and

impulse noise suppression means to remove re-constructed impulse noise from said output of the equalization means when said SNR is lower than said threshold value.

11. The impulsive noise suppression system in orthogonal frequency division multiplexing of claim 10, comprising:

a Viterbi decoder to decode the output of said equalization means when said SNR is greater than said threshold value, or to decode the output of said impulse noise suppression means when said SNR is lesser than said threshold value.

12. The impulsive noise suppression system in orthogonal frequency division multiplexing of claim 10, wherein said impulsive noise suppression means further comprising:

an inverse FFT means to transform said estimation of total noise into a time domain representation of said estimation of total noise;

a peak detection means to re-construct impulsive noise from said time domain representation of said estimation of total noise;

a forward FFT means to transform said impulsive noise in time domain representation into frequency representation; and

a suppression means to calculate noise-suppressed signal by using the difference between output of said equalization means and a quotient of said impulsive noise to said ideal channel estimation.