Calibration algorithm for current-output R-2R ladders

Vargha, B.; Zoltan, I.

doi:10.1109/imtc.2000.848836

Cited by 8 publications

(11 citation statements)

References 6 publications

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“…Studied cases included the usage of auxiliary hardware and programmable software solutions to evaluate the linearization performance of measurement systems. One application suggests analogue to digital converters to solve nonlinearities at the same time the conversion is made [7][8]. Further, ROM memories have been used to save data tables and optimize lookup tables to solve linearization problems [9][10].…”

Section: Related Workmentioning

confidence: 99%

Reconfigurable Wireless Sensor Node with Improved Autonomous Linearization

Ranasinghe

2015

Int J on Adv. in ICT for Emerging Countries

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The usage of reconfigurable hardware in wireless sensor networks plays an important role which enables multi parameter estimation in complex environments. The need for vast sensor compatibility and sensor fusion will become crucial requirements as wireless sensor networks become autonomous and intelligent. Due to the non linear behaviour of sensors and analogue circuitry in the front end, such applications often require a rigorous software model to perform sensor linearization for best accuracy. This paper presents an implementation of a reconfigurable wireless sensor node based on a CMOS analogue multiplexer network supporting universal functions for different industrial sensors while being compact and energy efficient, which is conducive to wireless sensor networking. Further an accurate optimized and autonomous linearization technique based on rational interpolation is also presented in order to compensate non idealities of the sensor node. The concept, simulation results, prototype implementation with industrial components and the results of system integration are discussed in this paper to illustrate potential applications in mass scale data acquisition based on wireless sensor networks.

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Section: Related Workmentioning

confidence: 99%

Reconfigurable Wireless Sensor Node with Improved Autonomous Linearization

Ranasinghe

2015

Int J on Adv. in ICT for Emerging Countries

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“…Modeling of analog conditioning blocks is out of scope of this chapter. Proposals for the structural modeling of basic analog blocks are analyzed in [18][19][20][21], [23][24][25][26][27].…”

Section: Fig1 Classification Of the Adc Error Modelsmentioning

confidence: 99%

“…First group utilizes direct connection into summing node of the weighting components where values of each component are proportional to the signal value of the corresponding bit. Second main group generates binary weighted signals from corresponding nodes of the R-2R ladder network [26]. The weakness of the first group is the problem with matching of the weighting components, however, switched capacitor technology reduces this drawback because of higher accuracy of the weighting capacitors [36], [37].…”

Section: The Successive Approximation Adcmentioning

confidence: 99%

“…The next transformation of voltage sources with constant internal resistance into current sources leads to the final structural DAC error model as shown in Fig.7. [3], [10], [26]. Internal resistance connected to the virtual zero of operational amplifier (OA) does not contribute to the error behaviors.…”

Section: The Successive Approximation Adcmentioning

confidence: 99%

“…The nominator can achieve only N distinct values of the differences between adjacent code bins k+1 and k ( [3], [26], [11]). The increment of k causes that only one bit in position ki changes from "0" to "1" and all other lower bits (k i -1, k 1 ) change from "1" to "0".…”

Section: The Successive Approximation Adcmentioning

confidence: 99%

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Error Models of the Analog to Digital Converters

Michaeli¹,

Šaliga

2014

Measurement Science Review

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Error models of the Analog to Digital Converters describe metrological properties of the signal conversion from analog to digital domain in a concise form using few dominant error parameters. Knowledge of the error models allows the end user to provide fast testing in the crucial points of the full input signal range and to use identified error models for post correction in the digital domain. The imperfections of the internal ADC structure determine the error characteristics represented by the nonlinearities as a function of the output code. Progress in the microelectronics and missing information about circuital details together with the lack of knowledge about interfering effects caused by ADC installation prefers another modeling approach based on the input-output behavioral characterization by the input-output error box. Internal links in the ADC structure cause that the input-output error function could be described in a concise form by suitable function. Modeled functional parameters allow determining the integral error parameters of ADC. Paper is a survey of error models starting from the structural models for the most common architectures and their linkage with the behavioral models represented by the simple look up table or the functional description of nonlinear errors for the output codes.

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A Test Generation Method of R-2R Digital-to-Analog Converters Based on Genetic Algorithm

Yang

Wang

2021

J Electron Test

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A novel multidimensional fitness function genetic algorithm is proposed to optimize test vectors of R-2R Digital-to-Analog Converters (DAC). The proposed method employs distribution of characteristic vectors and the number of test vectors to formulate a multidimensional fitness function to search a non-dominate (ND) solution set. The searching process is directed by a ND sort method. Each individual in the ND set does not contain redundant test vectors. The test vectors are taken as the input excitation of the circuit under test (CUT) and the fault diagnosis is performed. As the number of test vectors increases, the accuracy of fault diagnosis also increases. The validity of the proposed method is verified by fault diagnosis. The average fault diagnosis rate is more than 85% for the R-2R network under the influence of tolerance. In addition, the parametric faults of ±50% deviation from the nominal value in each resistor of the R-2R network can be detected in the proposed method. Finally, the comparative experiments and results are briefly described in this paper.

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Calibration algorithm for current-output R-2R ladders

Cited by 8 publications

References 6 publications

Reconfigurable Wireless Sensor Node with Improved Autonomous Linearization

Reconfigurable Wireless Sensor Node with Improved Autonomous Linearization

Error Models of the Analog to Digital Converters

A Test Generation Method of R-2R Digital-to-Analog Converters Based on Genetic Algorithm

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