Monitor for spectral degradation of transmitter or receiver

1. A monitor for a transmitter, receiver, or transceiver having at least one component with at least one varying setting parameter controlled by a parameter controller to adjust a spectral degradation of a signal processed by the transmitter, receiver, or transceiver, the monitor comprising:

an input for receiving the at least one varying setting parameter from the parameter controller, and

a setting parameter analyzer for evaluating the at least one varying setting parameter to determine whether the at least one component is normally operating within a desired operating range and to issue a warning signal in case the at least one component is abnormally operating within the desired operating range;

wherein the settings parameter analyzer comprises a memory for storing previous sample values of the setting parameter and a trend analyzer for using the stored previous sample values of the setting parameter and a current sample value of the setting parameter to ascertain whether the setting parameter is acquiring a trend;

wherein the setting parameter analyzer further comprises a threshold comparator for comparing the current sample value of the setting parameter with a predetermined threshold, and for issuing the warning signal if the current sample value of the setting parameter is at or beyond the threshold and an analysis of the

previous sample values of the setting parameter indicates a critical trend.

2. The monitor according to claim 1 for use with a transmission path having a power amplifier, an adaptive predistortion, and a predistortion controller, wherein

the input is adapted to receive a predistortion parameter exchanged between the predistortion controller and the adaptive predistorter;

the setting parameter analyzer is a predistortion parameter analyzer for evaluating the predistortion parameter to determine whether the transmission path is normally operating within a desired operating range and to issue a warning signal in case the transmission path is abnormally operating within the desired operating range.

3. The monitor according to claim 1 , wherein the trend is a monotonic trend or a near-monotonic trend.

4. The monitor according to claim 2 , wherein the predistortion parameter is a gain-related coefficient of a digital predistortion.

5. The monitor according to claim 2 , wherein the predistortion parameter is a non-linearity correction-related coefficient.

6. The monitor according to claim 1 , wherein the setting parameter analyzer is adapted for evaluating a combination of several setting parameters.

7. The monitor according to claim 2 , wherein the predistortion parameter analyzer is adapted to take a copy of a polynomial model of the adaptive predistortion, for applying the copy of the polynomial model to a representative waveform, and for analyzing the results.

8. The monitor according to claim 2 , wherein the predistortion parameter analyzer is adapted to take an inverse of a polynomial model of the adaptive predistortion, to apply the inverse of the polynomial model to a representative waveform, and to analyze the results.

9. The monitor according to claim 7 , wherein the predistortion parameter analyzer is adapted to perform applying the polynomial model to the representative waveform and analyzing the results off-line, and to store the results as a look-up table to be interrogated during operation to determine if the combination of coefficients present indicate a high probability for failure.

10. The monitor according to claim 8 , wherein the predistortion parameter analyzer is adapted to perform applying the polynomial model to the representative waveform and analyzing the results off-line, and to store the results as a look-up table to be interrogated during operation to determine if the combination of coefficients present indicate a high probability for representing a failure.

11. The monitor according to claim 1 , wherein the setting parameter analyzer is further adapted to evaluate at least one ambient parameter of the at least one component, to determine whether the at least one ambient parameter is within a specification of the at least one component, and to override the warning signal if the at least one ambient parameter is outside of the specification.

12. The monitor according to claim 1 for use with a transmission path having a clock, a clock distribution, a voltage controlled oscillator (VCO), and a VCO tuner, wherein

the input is adapted to receive at least one varying tuning coefficient exchanged between the VCO tuner and the voltage controlled oscillator, the setting parameter analyzer is a tuning coefficient analyzer for evaluating the tuning coefficient to determine whether the at least one clock and/or the clock distribution is normally operating within a desired operating range and to issue a warning signal in case the at least one clock and/or clock distribution is abnormally operating within the desired operating range.

13. Computer-program product embodied on a non-transitory computer-readable medium and the non-volatile computer-readable medium comprising executable instructions for the manufacture of a monitor for a transmitter, receiver, or transceiver having at least one component with at least one varying setting parameter controlled by a parameter controller to adjust a spectral degradation of a signal processed by the transmitter, receiver, or transceiver, the monitor comprising:

an input for receiving at least one varying setting parameter exchanged between the setting controller and the at least one component; and

a setting parameter analyzer for evaluating the at least one setting parameter to determine whether the at least one component is normally operating within a desired operating range and to issue a warning signal in case the at least one component is abnormally operating within the desired operating range,

wherein the settings parameter analyzer comprises a memory for storing previous sample values of the setting parameter and a trend analyzer for using the stored previous sample values of the setting parameter and a current sample value of the setting parameter to ascertain whether the setting parameter is acquiring a trend;

wherein the setting parameter analyzer further comprises a threshold comparator for comparing the current sample value of the setting parameter with a predetermined threshold, and for issuing the warning signal if the current sample value of the setting parameter is at or beyond the threshold and an analysis of the

previous sample values of the setting parameter indicates a critical trend.

14. A method comprising:

monitoring a transmitter, receiver, or transceiver having at least one component with at least one varying setting parameter to adjust a spectral degradation of a signal processed by the transmitter, receiver, or transceiver, the method comprising the steps of:

receiving by a transmitter, receiver or transceiver, a setting parameter;

evaluating the setting parameter to determine whether the at least one component is normally operating within a desired operating range; and

issuing a warning signal in case the at least one component is abnormally operating within the desired operating range,

wherein the settings parameter analyzer comprises a memory for storing previous sample values of the setting parameter and a trend analyzer for using the stored previous sample values of the setting parameter and a current sample value of the setting parameter to ascertain whether the setting parameter is acquiring a trend;

wherein the setting parameter analyzer further comprises a threshold comparator for comparing the current sample value of the setting parameter with a predetermined threshold, and for issuing the warning signal if the current sample value of the setting parameter is at or beyond the threshold and an analysis of the previous sample values of the setting parameter indicates a critical trend.

15. The method according to claim 14 for monitoring a transmission path having a power amplifier, wherein

the at least one component is an adaptive predistortion;

the setting controller is a predistortion controller; and

the setting parameter is a predistortion parameter exchanged between the predistortion controller and the adaptive predistortion.

16. The method according to claim 14 , further comprising storing previous sample values of the setting parameter and using the stored previous sample values of the setting parameter and a current sample value of the setting parameter to ascertain whether the setting parameter is acquiring a trend.

17. The method according to claim 16 , further comprising

comparing the current sample value of the setting parameter with a predetermined threshold,

issuing the warning signal if the current sample value of the setting parameter is at or beyond the threshold and an analysis of the previous sample values of the setting parameter indicates a critical trend.

18. The method according to claim 16 , wherein the trend is a monotonic trend or a near-monotonic trend.

19. The method according to claim 15 , wherein the predistortion parameter is a gain-related coefficient of a digital predistortion.

20. The method according to claim 15 , wherein the predistortion parameter is a non-linearity correction-related coefficient.

21. The method according to claim 14 , further comprising

evaluating a combination of several setting parameters.

22. The method according to claim 21 , further comprising

taking a copy of a polynomial model of the adaptive predistortion,

applying the copy of the polynomial model to a representative waveform to obtain a result, and

analyzing the result.

23. The method according to claim 21 , further comprising taking an inverse of a polynomial model of the adaptive predistortion, applying the inverse of the polynomial model to a representative waveform to obtain a result, and analyzing the result.

24. The method according to claim 22 , wherein applying the polynomial model to a representative waveform and analyzing the results is performed off-line and storing the results for interrogation during operation to determine if the combination of coefficients present indicate a high probability for failure.

25. The method according to claim 23 , wherein applying the polynomial model to a representative waveform and analyzing the results is performed off-line and storing the results for interrogation during operation to determine if the combination of coefficients present indicate a high probability for failure.

26. The method according to claim 14 for monitoring a transmission path having a clock and a clock distribution, wherein

the at least one component is a voltage controlled oscillator (VCO),

the setting controller is a VCO tuner, and

the setting parameter is a tuning coefficient exchanged between the VCO tuner and the voltage controlled oscillator.

27. Computer program product stored on a non-transitory medium and comprising instructions that enable a processor to carry out a method for monitoring a transmitter, receiver, or transceiver having at least one component with at least one varying setting parameter to reduce a spectral degradation of a signal processed by the transmitter,

receiver, or transceiver, the method comprising:

receiving a setting parameter; and

evaluating the setting parameter to determine whether the at least one component is normally operating within a desired operating range and to issue a warning signal in case the at least one component is abnormally operating within the desired operating range.

wherein the settings parameter analyzer comprises a memory for storing previous sample values of the setting parameter and a trend analyzer for using the stored previous sample values of the setting parameter and a current sample value of the setting parameter to ascertain whether the setting parameter is acquiring a trend;

wherein the setting parameter analyzer further comprises a threshold comparator for comparing the current sample value of the setting parameter with a predetermined threshold, and for issuing the warning signal if the current sample value of the setting parameter is at or beyond the threshold and an analysis of the

previous sample values of the setting parameter indicates a critical trend.