Automated Generation of Built-In Self-Test and Measurement Circuitry for Mixed-Signal Circuits and Systems

Starr, George J.; Qin, Jie; Dutton, Bradley F.; Stroud, Charles E.; Dai, Fa Foster; Nelson, Victor P.

doi:10.1109/dft.2009.43

Cited by 14 publications

(10 citation statements)

References 8 publications

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“…Other application areas using digitally synthesized frequencies are audio effect design [77] and built-in self-test (BIST) for mixed-signal systems [78,79].…”

Section: Introductionmentioning

confidence: 99%

Design of Integrated Building Blocks for the Digital/Analog Interface

Andersson¹

2015

Linköping Studies in Science and Technology. Dissertations

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The integrated circuit has, since it was invented in the late 1950's, undergone a tremendous development and is today found in virtually all electric equipment. The small feature size and low production cost have made it possible to implement electronics in everyday objects ranging from computers and mobile phones to smart prize tags. Integrated circuits are typically used for data communication, signal processing and data storage. Data is usually stored in digital format but signal processing can be performed both in the digital and in the analog domain. For best performance, the right partition of signal processing between the analog and digital domain must be used. This is made possible by data converters converting data between the domains. A device converting an analog signal into a digital representation is called an analog-to-digital converter (ADC) and a device converting digital data into an analog representation is called a digital-to-analog converter (DAC). In this work we present research results on these data converters and the results are compiled in three different categories. The first contribution is an error correction technique for DACs called dynamic element matching, the second contribution is a power efficient time-to-digital converter architecture and the third is a design methodology for frequency synthesis using digital oscillators.The accuracy of a data converter, i.e., how accurate data is converted, is often limited by manufacturing errors. One type of error is the so-called matching error and in this work we investigate an error correction technique for DACs called dynamic element matching (DEM). If distortion is limiting the performance of a DAC, the DEM technique increases the accuracy of the DAC by transforming the matching error from being signal dependent, which results in distortion, to become signal independent noise. This noise can then be spectrally shaped or filtered out and hereby increasing the overall resolution of the system. The DEM technique is investigated theoretically and the theory is supported by measurement results from an implemented 14-bit DAC using DEM. From the investigation it is concluded that DEM increases the performance of the DAC when matching errors are dominating but has less effect at conversion speeds when dynamic errors dominate.The next contribution is a new time-to-digital converter (TDC) architecture. A TDC is effectively an ADC converting a time difference into a digital representation. The proposed architecture allows for smaller and more power efficient data conversion than previously reported and the implemented TDC prototype is smaller and more power efficient as compared to previously published TDCs in the same performance segment.The third contribution is a design methodology for frequency synthesis using digital oscillators. Digital oscillators generate a sinusoidal output using recursive algorithms. We show that the performance of digital oscillators, in terms of amplitude and frequency stability, to a large extent depends on t...

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“…Other application areas using digitally synthesized frequencies are audio effect design [77] and built-in self-test (BIST) for mixed-signal systems [78,79].…”

Section: Introductionmentioning

confidence: 99%

Design of Integrated Building Blocks for the Digital/Analog Interface

Andersson¹

2015

Linköping Studies in Science and Technology. Dissertations

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“…Therefore, a multiple-input signature analyzer normally contains only one stage. Such an analyzer is presented in Figure 3 [14], where is a primitive element of the field (2 ), that is, a root of a primitive polynomial ( ) = −1 −1 + ⋅ ⋅ ⋅ + 1 + 0 . Each element of the field can be represented by a power of .…”

Section: A Conventional Signature Analyzermentioning

confidence: 99%

“…Each digit, , 0 ≤ ≤ − 1, consists bits and is considered to be an element of the field (2 ). The degree of the polynomial (2), or the number of stages, , in Figure 2, depends on the desired probability of undetected error in the sequence of incoming digits.…”

Section: A Conventional Signature Analyzermentioning

confidence: 99%

“…The initial content of the SA before the shift is , or 2 2 + 1 + 0 in the polynomial form (we have omitted the superscripts for the sake of simplicity). The notations and + , where index can be one of 0, 1, and 2, indicate the present and next states, respectively.…”

Section: A Novel Approachmentioning

confidence: 99%

“…Signature analysis has been widely used for digital and mixedsignal systems testing [1][2][3][4][5][6][7][8][9][10][11][12]. Mixed-signal systems consist of both digital and analog circuits; however the signature analysis method is only applicable to the subset of these systems that have digital outputs (such as analog-to-digital converters, measurement instruments, etc.).…”

Section: Introductionmentioning

confidence: 99%

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On the Use of an Algebraic Signature Analyzer for Mixed-Signal Systems Testing

Geurkov

Kirischian

2014

VLSI Design

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We propose an approach to design of an algebraic signature analyzer that can be used for mixed-signal systems testing. The analyzer does not contain carry propagating circuitry, which improves its performance as well as fault tolerance. The common design technique of a signature analyzer for mixed-signal systems is based on the rules of an arithmetic finite field. The application of this technique to the systems with an arbitrary radix is a challenging task and the devices designed possess high hardware complexity. The proposed technique is simple and applicable to systems of any size and radix. The hardware complexity is low. The technique can also be used in arithmetic/algebraic coding and cryptography.

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