Statistically based continuous autocalibration method and apparatus

• US 4,996,530 A
• Filed: 11/27/1989
• Issued: 02/26/1991
• Est. Priority Date: 11/27/1989
• Status: Expired due to Term

• Current Assignee: Agilent Technologies, Inc.
• Original Assignee: Hewlett-Packard Company (HP Inc.)
• Inventors: Hilton, Howard E.
• Primary Examiner(s): Shoop, Jr., William M.
• Assistant Examiner(s): WILLIAMS, HOWARD L
• Application Number:
  US07/442,379
• Time in Patent Office: 456 Days
• Field of Search: 341/106, 341/107, 341/109, 341/118, 341/120, 341/131, 341/138, 341/140, 341/144, 341/155, 341/156, 341/158, 341/165, 364/554, 364/571.02
• US Class Current: 341/120
• CPC Class Codes: G12B 13/00 Calibrating of instruments and apparatus calibrating of measuring instruments G01
• CPC Class Codes: H03M 1/0641 the dither being a random signal
• CPC Class Codes: H03M 1/167 all stages comprising simultaneous converters H03M1/165 takes precedence

Abstract

Errors in a sampled data process are discerned statistically throughout the process, permitting their efficient removal. An exemplary application is a subranging analog-to-digital converter (ADC), in which errors associated with component digital-to-analog (DAC) current sources are discerned and corrected automatically during the circuit'"'"'s normal operation. This is achieved by continually introducing a random signal into the process, statistically examining the DAC output signal to discern error terms, and correlating the occurrences of these errors with the values of the random signal applied to the DACs so as to identify the current sources to which the error terms are due. The resulting ADC output signal is compensated to remove the random signal and is further compensated to remove the DAC error terms discerned by this statistical analysis. The effect of any errors that may remain due to imperfect quantification of the DAC error terms is minimized due to their randomization, permitting the removal of these error terms by averaging techniques.

Claims

1. In a subranging analog-to-digital converter that includes:

first and second analog-to-digital converters (ADCs);

a digital-to-analog converter (DAC);

each of said converters having an input and an output;

an analog subtraction circuit having first and second inputs and a difference output;

an analog signal input connected to the first input of the subtraction circuit;

said first ADC having its input connected to the analog signal input and having its output connected to the input of the DAC;

said DAC having its output connected to the second input of the subtraction circuit;

said second ADC having its input connected to the difference output of the subtraction circuit; and

means for combining the outputs of the first and second ADCs to provide a digital output signal;

an improvement wherein the DAC comprises;

first, second and third DACs, each having an input and an output;

first and second digital noise sources, each having an output;

first and second adders, each having two inputs and an output; and

a correction circuit having a plurality of inputs and an output;

said first adder having its first input coupled to the output of the first noise source and having its second input coupled to the output of the first ADC, said adder having its output coupled to the input of the first DAC to provide the negated sum of the first noise source output and the first ADC output thereto;

said second adder having its first input coupled to the output of the first noise source and having its second input coupled to the output of the second noise source, said adder having its output coupled to the input of the second DAC to provide the sum of the first and second noise source outputs thereto;

said third DAC having its input coupled to the output of the second noise source for receiving a negated noise output therefrom;

said first, second and third DACs having their outputs coupled to the second input of the analog subtraction circuit;

said correction circuit having a first input coupled to the output of the second ADC, a second input coupled to the output of the first adder, a third input coupled to the output of the second adder, and a fourth input coupled to the output of the second noise source;

said circuit including means for compensating the digital output signal for conversion errors in the first, second and third DACs.

2. The subranging ADC of claim 1 which further includes:

memory means for storing a conversion error associated with each of a plurality of input bits of the first, second and third DACs;

means for combining said conversion errors in accordance with digital patterns applied to said first, second and third DACs to determine a net conversion error; and

means for compensating the digital output signal to account for said net conversion error.

3. The subranging ADC of claim 2 which further includes:

means for updating said stored conversion errors in accordance with the output from the second ADC.

4. In a method of analog-to-digital conversion that includes the steps:

generating a digital approximation of an analog input signal;

converting said digital approximation into an intermediate analog signal approximately corresponding thereto;

producing an analog subrange signal by determining a difference between the analog input signal and the intermediate analog signal;

generating a digital approximation of said subrange signal; and

combining said digital approximations to yield a final output signal;

an improvement comprising the steps;

summing the digital approximation of the analog input signal with a first digital noise signal to yield a first sum;

producing a first analog signal that approximately corresponds to the negative of said first sum;

summing the first digital noise signal with a second digital noise signal to yield a second sum;

producing a second analog signal that approximately corresponds to said second sum;

producing a third analog signal that corresponds to the negative of the second digital noise signal; and

summing the first, second and third analog signals to yield the intermediate analog signal.

5. The method of claim 4 which further includes:

compensating the final output signal to remove error terms associated with the producing steps.

6. The method of claim 5 which further includes:

characterizing said error terms during performance of the method, rather than during a dedicated calibration cycle.

7. In a method of analog-to-digital conversion that includes the steps:

generating a digital approximation of an analog input signal;

converting said digital approximation into an intermediate analog signal approximately corresponding thereto;

producing an analog subrange signal by determining a difference between the analog input signal and the intermediate analog signal;

generating a digital approximation of said subrange signal; and

combining said digital approximations to yield a final output signal;

an improvement comprising the steps;

combining the digital approximation of the analog input signal with at least one digital noise signal to yield a digital combined signal;

converting the digital combined signal into a first intermediate analog signal approximately corresponding thereto using a DAC;

processing said first intermediate analog signal to remove the noise component thereof; and

for at least one bit of the DAC;

correlating the final output signal with a digital value applied by the digital combined signal to said bit to note any deviation from ideal DAC behavior.

8. The method of claim 7 in which the correlating step includes:

weighting a signal corresponding to the final output signal by a factor A if the digital signal applied to said bit is a "0";

weighting a signal corresponding to the final output signal by a factor B if the digital signal applied to said bit is a "1";

determining a long term average of said weighted final output signal; and

discerning a deviation between said long term average and a reference long term average that would result if the DAC had no conversion error, said deviation being a DAC conversion error.

9. The method of claim 8 in which said reference long term average equals (XA+YB) * Z, where:

X is the probability that the digital signal applied to said bit is a "0";

Y is the probability that the digital signal applied to said bit is a "1"; and

Z is the expected value of the final output signal.

10. The method of claim 8 which further includes compensating the final signal to remove the error determined by said discerning step.

11. The method of claim 8 which includes discerning a DAC conversion error for each of a plurality of DAC bits.

12. The method of claim 8 in which the discerning step includes:

maintaining a memory having stored therein a value which approximately corresponds to said conversion error;

dividing the signal corresponding to the final output signal by a large number to dilute the significance thereof;

adding a value corresponding to said diluted signal to said value stored in memory if the digital signal applied to said bit is a "0"; and

subtracting a value corresponding to said diluted signal to said value stored in memory if the digital signal applied to said bit is a "1".

13. The method of claim 12 in which said dividing step comprises bit shifting said final output signal.

14. In a method of compensating conversion error in a digital-to-analog converter (DAC) used in a subranging analog-to-digital converter (ADC), said method including applying an input signal to the DAC and compensating a first signal produced by the ADC using an error term associated with said DAC input signal, an improved method for characterizing the error term comprising:

stimulating the DAC with a random signal; and

characterizing the error term by cross-correlating said first signal with the noise signal.

15. The method of claim 14 in which the random signal is a combination of a digitized approximation of an input analog signal and a noise signal.

16. The method of claim 15 which further includes:

compensating the DAC output signal to remove the noise signal component therefrom.

17. The method of claim 16 in which:

the DAC has associated therewith a plurality of error terms, one for each of a plurality of DAC input bits;

and which further includes;

decrementing the error term associated with one of said input bits by a weighted version of the ADC output signal if a "0" is applied to said input bit; and

incrementing the error term associated with one of said input bits by a weighted version of the ADC output signal if a "1" is applied to said input bit.

18. The method of claim 17 which further includes:

weighting the ADC output signal by bit shifting.

19. In a method of converting a desired input digital signal into an analog signal corresponding thereto, said method including stimulating a digital-to-analog converter and compensating a resultant output signal using an error term associated with the stimulus, an improvement comprising:

estimating said error term while converting the desired input digital signal into an analog signal corresponding thereto, rather than in a dedicated calibration cycle.

20. In a method of quantifying errors of signal sources in a digital-to-analog converter (DAC), an improvement wherein a reference against which the signal sources are compared is generated by:

including the DAC in an electrical system;

stimulating the DAC with a random signal; and

statistically analyzing the behavior of a signal produced by said system, wherein said statistical analysis comprises a cross-correlation analysis.

21. A compensated sampled data process comprising the steps:

providing an electronic system;

applying a sampled electronic data input signal to the electronic system;

processing the sampled electronic data signal in the electronic system to produce an output electronic signal corresponding thereto;

said processing step including perturbing the output signal in response to one or more process parameters, said perturbation causing the output electronic signal to deviate from an ideal value;

sensing the deviations in the output electronic signal from the ideal value; and

compensating the electronic system in response to said sensed deviations to counteract the perturbations that cause the output signal deviations;

wherein;

the process performed by the electronic system is ideally represented as;

space="preserve" listing-type="equation">F(X.sub.n)=Y.sub.n

where X_n is an input sequence {x₁, x₂, x₃. . . } and Y_n is a scaler output sequence corresponding thereto;

the process performed by the electronic system, including said deviations due to one or more process parameters, is represented as;

space="preserve" listing-type="equation">F(X.sub.n,P.sub.n)=Y.sub.n '"'"'

where X_n is the input, P_n is a vector representing the parameters corresponding thereto, and Y_n '"'"' is the output of the actual process corresponding to (X_n,P_n);

the process being such that;

space="preserve" listing-type="equation">F(X.sub.n)=F(X.sub.n,P)

where P is a fixed vector representing ideal process parameters;

the method further comprising the steps;

providing a random vector Z_n ;

performing an operation C on (X_n,Z_n) to yield an output X_n '"'"';

performing the operation F on (X_n '"'"',P_n) to yield an output W_n '"'"';

performing an operation H on (X_n,Z_n) to yield a vector output Z_n '"'"'; and

performing an operation D on (W_n '"'"',Z_n '"'"') to yield an output W_n ;

calculating a parameter vector P_n+1 for a next sample using the formula;

space="preserve" listing-type="equation">P.sub.n+1 =P.sub.n -(W.sub.n ·

Z.sub.n '"'"')/K

where K is a smoothing constant;

wherein;

operations C, H and D are chosen such that;

space="preserve" listing-type="equation">W.sub.n =Y.sub.n =F(X.sub.n,P)=D(F(C(X.sub.n,Z.sub.n),P),H(X.sub.n, Z.sub.n))

and;

the sign of each element of the expected value of [W_n Z_n '"'"'] is the same as the sign of the corresponding element of the expected value of [P_n -P].

22. The method of claim 21 in which:

space="preserve" listing-type="equation">H(X.sub.n,Z.sub.n)=Z.sub.n '"'"'=Z.sub.n.

23. The method of claim 21 in which:

the vector Z_n has a sinle component Z_n ;

C(X_n,Z_n)=X_n +Z_n ; and

D(W_n '"'"',Z_n)=W_n '"'"'-F(Z_n, P).

24. The method of claim 23 in which the electronic system is an amplifier with a variable gain P_n and the desired gain is P such that:

space="preserve" listing-type="equation">F(X.sub.n,P.sub.n)=X.sub.n ·

P.sub.n ;

and

the operation D generates the output W_n such that;

space="preserve" listing-type="equation">D(W.sub.n '"'"',Z.sub.n)=W.sub.n =W.sub.n '"'"'-PZ.sub.n.

25. The method of claim 21 in which:

the process F is an analog-to-digital signal conversion process;

X_n is an analog signal to be converted into digital form;

Y_n is the digital counterpart of X_n ;

P_n is a set of adjustable parameters which models the conversion errors associated with the analog-to-digital conversion process; and

Z_n is a vector of digital noise signals.

26. A method for compensating a sampled data process F by removing deviations therefrom to make it more nearly ideal, said process being ideally represented as:

space="preserve" listing-type="equation">F(X.sub.n)=Y.sub.n

where x_n is an input and Y_n is a scaler output corresponding thereto;

said process actually including one or more process parameters that cause the actual process to deviate from ideal so that the actual process is represented as;

space="preserve" listing-type="equation">F(X.sub.n,P.sub.n)=Y.sub.n '"'"'

where X_n is the input, P_n is a vector representing the parameters for the corresponding sample, and Y_n '"'"' is the output of the actual process corresponding to (X_n,P_n);

the process being such that;

space="preserve" listing-type="equation">F(X.sub.n)=F(X.sub.n,P)

where P is a fixed vector representing ideal process parameters;

the method comprising the steps;

providing a random vector Z_n ;

performing an operation C on (X_n,Z_n) to yield an output X_n '"'"';

performing the operation F on (X_n '"'"',P_n) to yield an output W_n '"'"';

performing an operation H on (X_n,Z_n) to yield a vector output Z_n '"'"'; and

performing an operation D on (W_n '"'"',Z_n '"'"') to yield an output W_n ;

calculating the parameter vector P_n+1 for the next sample using the formula;

space="preserve" listing-type="equation">P.sub.n+1 =P.sub.n -(W.sub.n ·

Z.sub.n '"'"')/K

where K is a smoothing constant;

wherein;

operations C, H and D are chosen such that;

space="preserve" listing-type="equation">W.sub.n =Y.sub.n =F(X.sub.n,P)=D(F(C(X.sub.n,Z.sub.n),P),H(X.sub.n,Z.sub.n))

and in which;

the sign of each element of the expected value of [W_n Z_n '"'"'] is the same as the sign of the corresponding element of the expected value of [P_n -P];

X_n comprises an analog voltage V_n and three digital numbers A1_n, A2_n and A3_n ;

the ideal process is described as;

space="preserve" listing-type="equation">F(X.sub.n)=V.sub.n -A1.sub.n =Y.sub.n

where Y_n is a digital output with acceptable precision;

the actual process is described by;

space="preserve" listing-type="equation">F(X.sub.n,P.sub.n)=V.sub.n -A1.sub.n +A2.sub.n -A3.sub.n +(P.sub.n ·

B.sub.n)

where B_n is a vector comprised of the individual bits used to encode the three digital numbers A1_n, A2_n and A3_n, and (P_n ·

B_n) is a vector dot product yielding a scaler;

the random vector Z_n consists of two random digital numbers, Z_n comprises two random digital numbers Z1_n and Z2_n ;

the operation C generates an output X_n '"'"' comprising the analog voltage V_n and three digital numbers D1_n, D2_n and D3_n, such that;

space="preserve" listing-type="equation">D1.sub.n =A1.sub.n +Z1.sub.n

space="preserve" listing-type="equation">D2.sub.n =Z1.sub.n +Z2.sub.n

space="preserve" listing-type="equation">D3.sub.n =Z2.sub.n ;

the operation D generates an output W_n such that;

space="preserve" listing-type="equation">D(W.sub.n '"'"',Z.sub.n '"'"')=W.sub.n '"'"'=W.sub.n ;

and

the operation H generates an output Z_n '"'"' comprising a vector of all the individual bits used to encode the three digital numbers D1_n, D2_n and D3_n.