Classifications

• • H—ELECTRICITY
  • H04—ELECTRIC COMMUNICATION TECHNIQUE
  • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
  • H04L43/00—Arrangements for monitoring or testing data switching networks
  • H04L43/50—Testing arrangements
• • H—ELECTRICITY
  • H04—ELECTRIC COMMUNICATION TECHNIQUE
  • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
  • H04L1/00—Arrangements for detecting or preventing errors in the information received
  • H04L1/24—Testing correct operation

Definitions

• the bit error rate is an important measure for determining the transmission quality of a transmission link.
• the invention has for its object to provide a simple method for determining the number of bit errors in a data stream, which delivers significant and easily evaluable results.
• This object is achieved according to the invention by a method for determining the number of bit errors which falsify a data stream coming from a data source and passing through at least one transmission link to a data receiver, in which test data are inserted into the data stream on the data source side, in which one of the test data received Bit error function is obtained and in which the bit error function for determining the number of bit errors is evaluated by multiplication with an analysis function and subsequent time integration.
• An important advantage of the method according to the invention is that the received data stored when examining a transmission link also contain the test data, which can be used in a simple manner to form the bit error function. From these, a clear, significant measure of the number of bit errors can be determined using relatively simple evaluation processes (multiplication and time integration) by piecewise evaluation, if necessary.
• bit error function (s) for forming a unipolar, binary function is subjected to a two-value amplitude quantization, that this function is autocorrelated and that The number of bit errors is determined from the level of the main maximum of the autocorrelation function thus formed.
• the auto-correlation function is particularly well suited for evaluating the bit error function, since it is a measure of the (linear) statistical dependency of two instantaneous values of a unipolar, binary real random function, namely the bit error function, at intervals - possibly normalized to the evaluated interval length N. The following generally applies:
• AKF (m) f e (n) x e (n + m) dn. N
• the maximum of the autocorrelation function AKF (m) at 0 results
• AKF (o) fe (n) 2 dn N and is therefore basically a measure of the (middle
• the bit error function is preferably selected as a unipolar, binary function
• the result of this evaluation advantageously has a linear relationship to the number of bit errors.
• bit error function is subdivided into classes with a predetermined class length before it is evaluated to form a classified bit error function.
• the classified bit error function is e.g. B. by summing the bit errors detected during the class length (predetermined number of bits) and holding the summation result ready until the beginning of the next 1 class won.
• the classified bit error function is preferably subjected to a two-value amplitude quantification if a subsequent evaluation by autocorrelation is provided.
• FIG. 1 shows a transmission system with a transmission link to be examined
• FIG. 2 shows an evaluation of received test data in order to obtain a bit error function or a classified bit error function
• test data 5 into a serial data stream 4 to be transmitted via the transmission link 2 received.
• test data 6 are filtered out and evaluated to determine a bit error function n .
• the test data 5 can preferably be inserted into a useful data stream transmitted between the data source 1 and the data receiver 3 into empty useful data stream sections, as a result of which the transmission system can also be used during the examination in FIG Normal operation can continue.
• the received test data 6 contain individual bit errors 12, which are determined by comparing the transmitted test data 5 with the received test data 6 (FIG. 1).
• a bit error function e (n) is determined from this comparison by assigning the value (1) to each incorrectly transmitted bit and the value (0) to each correctly transmitted bit of the test data.
• the resulting unipolar, binary bit error function e (n) is shown in the second line of FIG. 2.
• the third and fourth lines of FIG. 2 show a class-wise summary of bit errors that have occurred during a class length KL.
• a classified bit error function err (n) is obtained from these by summation and provision of the simulation result over a class length KL.
• Autocorrelation function AKF (m) is determined, the overall course of which is shown in FIG. 4.
• the height of the main maximum M represents a proportional value for the bit errors that occurred in the evaluated section of the bit error function e (n) and thus for the bit error rate;
• the value 1 of the unipolar, binary bit error function e (n) is squared, the value 1 is obtained, so that the squaring carried out during the autocorrelation has no influence on the integration result.

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• Engineering & Computer Science (AREA)
• Computer Networks & Wireless Communication (AREA)
• Signal Processing (AREA)
• Detection And Prevention Of Errors In Transmission (AREA)

Applications Claiming Priority (2)

Publications (1)

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ID=6435015

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Citations (4)

Family Cites Families (2)

• 1991
  • 1991-06-26 DE DE4121480A patent/DE4121480C1/de not_active Expired - Fee Related
• 1992
  • 1992-05-12 WO PCT/DE1992/000394 patent/WO1993000759A1/de active Application Filing
  • 1992-05-12 AU AU16865/92A patent/AU1686592A/en not_active Abandoned

Patent Citations (4)

Non-Patent Citations (1)

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