Non-invasive digital cable test system

• US 6,233,274 B1
• Filed: 09/30/1999
• Issued: 05/15/2001
• Est. Priority Date: 04/27/1995
• Status: Expired due to Term

• Current Assignee: Wavetek Wandell Goltermann
• Original Assignee: Wavetek Wandel Goltermann
• Inventors: Tsui, Ernest T., Kletsky, Jeffrey Marc
• Primary Examiner(s): Le, Amanda T.
• Application Number:
  US09/409,268
• Time in Patent Office: 593 Days
• Field of Search: 375/224, 375/226-228, 375/316, 375/324, 375/377, 455/67.1, 455/67.3, 455/67.7, 455/226.2, 455/226.3, 370/252, 714/48, 714/704, 714/712
• US Class Current: 375/227
• CPC Class Codes: H04B 17/23 Indication means, e.g. displays, alarms, audible means
• CPC Class Codes: H04B 17/391 Modelling the propagation channel
• CPC Class Codes: H04L 1/242 by comparing a transmitted test signal with a locally generated replica
• CPC Class Codes: H04L 43/00 Arrangements for monitoring or testing data switching networks
• CPC Class Codes: H04L 43/0823 Errors, e.g. transmission errors

Abstract

Method and apparatus for non-invasive testing of digital communications systems. Amplitude measurements are made for multiple frequencies of a multi-frequency communication system, converted to the time domain. An adaptive filter output is matched to the time domain representation to characterize the channel. Impedance mismatches may be precisely located using this technique. An error signal representing a difference between a signal transmitted through the channel and a received signal is estimated and analyzed. The error signal is separated into components corresponding to contributions by wide band noise, residual phase modulation, and residual amplitude modulation. Identification and removal of narrow-band interferers may occur prior to this separation. Bit error rate and system margin computations employ a Monte Carlo simulation of the various error sources. This provides a well refined estimate of bit error rate and system margin.

Claims

1. In a digital communication system wherein digital data to be communicated over a channel is represented by sequential selection of components of a modulated signal, a method of estimating system margin comprising the steps of:

a) receiving said modulated signal as corrupted by said channel;

b) estimating an error signal between said modulated signal as transmitted and said received modulated signal;

c) estimating a cluster variance of said error signal; and

d) estimating system margin based on said cluster variance and a required system signal to noise ratio (SNR).

2. The method of claim 1 wherein step b) further includes:

equalizing a digitized version of the received modulated signal to produce an equalized modulated signal; and

using symbol decision on the equalized modulated signal to estimate the error signal between said modulated signal as transmitted and said received modulated signal.

3. The method of claim 1 wherein step c) further comprises:

estimating a power of the modulated signal;

estimating a power of the error signal; and

estimating the cluster variance based upon the power of the modulated signal and the power of the error signal.

4. The method of claim 1 wherein step d) further comprises employing a processor to estimate system margin based on said cluster variance and a required system SNR.

5. A computer program product that controls a processor to estimate a system margin in a digital communication system in which digital data is communicated over a channel as sequential selection of components of a modulated signal, the computer program product comprising:

code for estimating an error signal between said modulated signal as transmitted and a received modulated signal, said received modulated signal comprising said modulated signal corrupted by said channel;

code for estimating a cluster variance of said error signal; and

code estimating system margin based on said cluster variance and a required system signal to noise ratio (SNR).

6. The computer program product of claim 5 further comprising

code for equalizing a digitized version of the received modulated signal to produce an equalized modulated signal; and

code for using symbol decision on the equalized modulated signal to estimate the error signal between said modulated signal as transmitted and said received modulated signal.

7. The computer program product of claim 6 further comprising code for:

estimating a power of the modulated signal;

estimating a power of the error signal; and

estimating the cluster variance based upon the power of the modulated signal and the power of the error signal.

8. The computer program product of claim 5 further comprising code for:

estimating a power of the modulated signal;

estimating a power of the error signal; and

estimating the cluster variance based upon the power of the modulated signal and the power of the error signal.

9. An arrangement for estimating system margin for use in connection with a digital communication system for communicating digital data to be communicated over a channel as sequential selection of components of a modulated signal, said arrangement comprising:

a sampling stage configured to receive the modulated signal and generate a digital signal synchronized to a plurality of symbol boundaries in said received modulated signal;

an equalizer configured to received the digital signal and generate an equalized modulated signal based on the digital signal;

a symbol decision stage configured to received the equalized modulated signal and generate a plurality of constellation points corresponding thereto, said symbol decision stage further configured to estimate an error signal between the received modulated signal and the modulated signal as transmitted; and

a processor configured to

estimate a cluster variance of said error signal, and

estimate a system margin responsive to said cluster variance.

10. The arrangement of claim 9 wherein the sampling stage is operably connected to receive the modulated signal from a tuning/downconversion circuit in analog format.

11. The arrangement of claim 9 wherein the sampling stage is a digital resampler operably connected to receive the modulated signal from a quadrature direct conversion stage in digitally sampled format.

12. The arrangement of claim 9 wherein the equalizer comprises an adaptive equalizer configured to correct for distortion in the channel based on the error signal.

13. The arrangement of claim 12 wherein the adaptive equalizer includes a digital filter with variable tap weights, said variable tap weights being generated based on the error signal.

14. The arrangement of claim 9 wherein the symbol decision stage is configured to employ a maximum likelihood decision rule to generate the plurality of constellation points corresponding to the equalized modulated signal.

15. The arrangement of claim 9 further comprising a display for displaying the system margin.

16. The arrangement of claim 9 wherein the processor comprises a processing unit of a workstation.

17. The arrangement of claim 9 wherein the processor is further operable to:

estimate a power of the modulated signal;

estimate a power of the error signal; and

estimate the cluster variance based upon the power of the modulated signal and the power of the error signal.

18. The arrangement of claim 17 wherein the processor is further operable to estimate the power of the modulated signal based on the equalized modulated signal generated by the equalizer.

19. The arrangement of claim 9 wherein the processor is further operable to estimate the system margin based on the cluster variance and a required system SNR.

20. The arrangement of claim 9 wherein the processor is further operable to estimate the system margin by:

estimating a current SNR responsive to said cluster variance; and

subtracting a required system SNR from said current SNR to obtain said system margin.