An accurate current source with on-chip self-calibration circuits for low-voltage current-mode differential drivers

Zhang, Guangbin; Saw, Sooping; Liu, Jin; Sterrantino, S.; Johnson, Dorian; Jung, Sungyong

doi:10.1109/tcsi.2005.855726

Cited by 20 publications

(4 citation statements)

References 20 publications

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“…An accepted practice utilized in the past by measurement system designers was to linearize the sensor signal in order to compensate for system non idealities. The subject of linearization of measurement systems has been considered on different forms and stages, basically in the design of circuits with MOS and CMOS technologies [5][6]. Studied cases included the usage of auxiliary hardware and programmable software solutions to evaluate the linearization performance of measurement systems.…”

Section: Related Workmentioning

confidence: 99%

“…Corresponding rational expression for each point can be recursively found according to the following procedure: (5) where and are given by the coefficients of diagonal and numerator fractions respectively. (6) where j = 1……n-1, n = number of calibration points Defining the continuous fraction given in (3) can be simplified to equation (4) which enables finding the final rational function for the entire data set.…”

Section: Autonomous Linearization Techniquementioning

confidence: 99%

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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%

Section: Autonomous Linearization Techniquementioning

confidence: 99%

Reconfigurable Wireless Sensor Node with Improved Autonomous Linearization

Ranasinghe

2015

Int J on Adv. in ICT for Emerging Countries

View full text Add to dashboard Cite

show abstract

“…An accepted practice utilized in the past by measurement systems designers was to linearize the sensor output. The subject of linearization has been considered on different forms and stages, basically in the design of circuits with MOS and CMOS technologies [1-2]. Studied cases included the usage of analog to digital converters to solve nonlinearities at the same time that the conversion is made [3-4].…”

Section: Introductionmentioning

confidence: 99%

Improved Progressive Polynomial Algorithm for Self-Adjustment and Optimal Response in Intelligent Sensors

Rivera

Herrera

Chacon³

et al. 2008

Sensors

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The development of intelligent sensors involves the design of reconfigurable systems capable of working with different input sensors signals. Reconfigurable systems should expend the least possible amount of time readjusting. A self-adjustment algorithm for intelligent sensors should be able to fix major problems such as offset, variation of gain and lack of linearity with good accuracy. This paper shows the performance of a progressive polynomial algorithm utilizing different grades of relative nonlinearity of an output sensor signal. It also presents an improvement to this algorithm which obtains an optimal response with minimum nonlinearity error, based on the number and selection sequence of the readjust points. In order to verify the potential of this proposed criterion, a temperature measurement system was designed. The system is based on a thermistor which presents one of the worst nonlinearity behaviors. The application of the proposed improved method in this system showed that an adequate sequence of the adjustment points yields to the minimum nonlinearity error. In realistic applications, by knowing the grade of relative nonlinearity of a sensor, the number of readjustment points can be determined using the proposed method in order to obtain the desired nonlinearity error. This will impact on readjustment methodologies and their associated factors like time and cost.

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“…Based on the prototype of the OLED-on-Silicon, and the studies on the materials [81][82][83][84][85][86][87], several potential improvements are recommended for the future research work.…”

Section: Recommendations For the Future Workmentioning

confidence: 99%

Silicon backplane design for OLED-on-silicon microdisplay

Wang¹

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An accurate current source with on-chip self-calibration circuits for low-voltage current-mode differential drivers

Cited by 20 publications

References 20 publications

Reconfigurable Wireless Sensor Node with Improved Autonomous Linearization

Reconfigurable Wireless Sensor Node with Improved Autonomous Linearization

Improved Progressive Polynomial Algorithm for Self-Adjustment and Optimal Response in Intelligent Sensors

Silicon backplane design for OLED-on-silicon microdisplay

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