Fully digital-compatible built-in self-test solutions to linearity testing of embedded mixed-signal functions

Mixed-signal circuits, especially analog-to-digital and digital-to-analog converters, are the most widely used circuitry in electronic systems. In the most of the cases, mixed-signal circuits form the interface between the analog and digital worlds and enable the processing and recovering of the real-world information. Performance of mixed-signal circuits, such as linearity and noise, are then critical to any applications. Conventionally, mixed-signal circuits are tested by mixed-signal automatic test equipment (ATE). However, along with the continuous performance improvement, using conventionally methods increases test costs significantly since it takes much more time to test high-performance parts than low-performance ones and mixed-signal ATE testers could be extremely expensive depending on the test precision they provide. Another factor that makes mixed-signal testing more and more challenging is the advance of the integration level. In the popular system-on-chip applications, mixed-signal circuits are deeply embedded in the systems. With less observability and accessibility, conventionally external test methods can not guarantee the precision of the source signals and evaluations. Test performance is then degraded. This work investigates new methods using digital testers incorporated with on-chip, built-in self-test circuits to test the linearity performance of data converters with less test cost and better test performance. Digital testers are cheap to use since they only offer logic signals with direct connections. The analog sourcing and evaluation capabilities have to be absorbed by the on-chip BIST circuits, which, meanwhile, could benefit the test performance with access to the internal circuit nodes. The main challenge of the digital-compatible BIST methods is to implement the BIST circuits with enough high test performance but with low design complexity and cost. High-resolution data converter testing needs much higher-precision analog source signals and evaluation circuits. However, high-precision analog circuits are conventionally hard to design and costly, and their performance is subject to mismatch errors and process variations and cannot be guaranteed without careful testing. On the digital side, BIST circuits usually conduct procedure control and data processing. To make the BIST solution more universal, the control and processing performed by the digital BIST circuits should be simple and not rely on any complex microcontroller and DSP block. Therefore, the major tasks of this dissertation are 1) performance-robust analog BIST circuit design and 2) test procedure development. Analog BIST circuits in this work consist of only low-accuracy analog components, which are usually easy to design and cost effective. The precision is then obtained by applying the so-called deterministic dynamic element matching technique to the low-accuracy analog cells. The test procedure and data processing designed for the BIST system are simple and can be implemented by small logic circuits. In this dissertation, we discuss the proposed BIST solutions to ADC and DAC linearity testing in chapter 3 and chapter 5, respectively. In each case, the structure of the test system, the test procedure, and the theoretical analysis of the test performance are presented. Simulation results are shown to verify the efficacy of the methods. The ADC BIST system is also verified experimentally. In addition, chapter 4 introduces a system-identification based reduced-code testing method for pipeline ADCs. This method is able to reduce test time by more than 95%. And it is compatible with the proposed BIST method discussed in chapter 3

Built-in self-test and self-calibration for analog and mixed signal circuits

Analog-to-digital converters (ADC) are one of the most important components in modern electronic systems. In the mission-critical applications such as automotive, the reliability of the ADC is critical as the ADC impacts the system level performance. Due to the aging effect and environmental changes, the performance of the ADC may degrade and even fail to meet the accuracy requirement over time. Built-in self-test (BIST) and self-calibration are becoming the ultimate solution to achieve lifetime reliability. This dissertation introduces two ADC testing algorithms and two ADC built-in self-test circuit implementations to test the ADC integral nonlinearity (INL) and differential nonlinearity (DNL) on-chip. In the first testing algorithm, the ultrafast stimulus error removal and segmented model identification of linearity errors (USER-SMILE) is developed for ADC built-in self-test, which eliminates the need for precision stimulus and reduces the overall test time. In this algorithm, the ADC is tested twice with a nonlinear ramp, instead of using a linear ramp signal. Therefore, the stimulus can be easily generated on-chip in a low-cost way. For the two ramps, there is a constant voltage shift in between. As the input stimulus linearity is completely relaxed, there is no requirement on the waveform of the input stimulus as long as it covers the ADC input range. In the meantime, the high-resolution ADC linearity is modeled with segmented parameters, which reduces the number of samples required for achieving high-precision test, thus saving the test time. As a result, the USER-SMILE algorithm is able to use less than 1 sample/code nonlinear stimulus to test high resolution ADCs with less than 0.5 least significant bit (LSB) INL estimation error, achieving more than 10-time test time reduction. This algorithm is validated with both board-level implementation and on-chip silicon implementation. The second testing algorithm is proposed to test the INL/DNL for multi-bit-per-stages pipelined ADCs with reduced test time and better test coverage. Due to the redundancy characteristics of multi-bit-per-stages pipelined ADC, the conventional histogram test cannot estimate and calibrate the static linearity accurately. The proposed method models the pipelined ADC nonlinearity as segmented parameters with inter-stage gain errors using the raw codes instead of the final output codes. During the test phase, a pure sine wave is sent to the ADC as the input and the model parameters are estimated from the output data with the system identification method. The modeled errors are then removed from the digital output codes during the calibration phase. A high-speed 12-bit pipelined ADC is tested and calibrated with the proposed method. With only 4000 samples, the 12-bit ADC is accurately tested and calibrated to achieve less than 1 LSB INL. The ADC effective number of bits (ENOB) is improved from 9.7 bits to 10.84 bits and the spurious-free dynamic range (SFDR) is improved by more than 20dB after calibration. In the first circuit implementation, a low-cost on-chip built-in self-test solution is developed using an R2R digital-to-analog converter (DAC) structure as the signal generator and the voltage shift generator for ADC linearity test. The proposed DAC is a subradix-2 R2R DAC with a constant voltage shift generation capability. The subradix-2 architecture avoids positive voltage gaps caused by mismatches, which relaxes the DAC matching requirements and reduces the design area. The R2R DAC based BIST circuit is fabricated in TSMC 40nm technology with a small area of 0.02mm^2. Measurement results show that the BIST circuit is capable of testing a 15-bit ADC INL accurately with less than 0.5 LSB INL estimation error. In the second circuit implementation, a complete SAR ADC built-in self-test solution using the USER-SMILE is developed and implemented in a 28nm automotive microcontroller. A low-cost 12-bit resistive DAC with less than 12-bit linearity is used as the signal generator to test and calibrate a SAR ADC with a target linearity of 12 bits. The voltage shift generation is created inside the ADC with capacitor switching. The entire algorithm processing unit for USER-SMILE algorithm is also implemented on chip. The final testing results are saved in the memory for further digital calibration. Both the total harmonic distortion (THD) and the SFDR are improved by 20dB after calibration, achieving -84.5dB and 86.5dB respectively. More than 700 parts are tested to verify the robustness of the BIST solution

Built-in-self-test and foreground calibration of SAR ADCs

This thesis explores the scope of ‘Built-in-Self-Test’(BIST) schemes to reduce the time cost complexity associated with the production tests for static linearity errors in Successive Approximation (SAR) ADCs. In this regard, an on-chip implementation of the ‘Stimulus Based Error Identification and Removal’ (SEIR) method [1] is sought to be pursued. As an extension, it is proposed that the estimated ADC non-linearities may then be suitably calibrated to achieve higher resolution. A brief review of the testing and calibration algorithm is undertaken. Further, this work elaborates on the design of a prototype front-end test generator and a buffer interface to calibrate a 10MHz 14 bit redundant SAR ADC in the TSMC 180nm process. Simulation results validating the circuit implementation of the integrated front-end system have been presented.Electrical and Computer Engineerin

Testing high resolution SD ADC’s by using the noise transfer function

A new solution to improve the testability of high resolution SD Analogue to Digital Converters (SD ADC’s) using the quantizer input as test node is described. The theoretical basis for the technique is discussed and results from high level simulations for a 16 bit, 4th order, audio ADC are presented. The analysis demonstrates the potential to reduce the computational effort associated with test response analysis versus conventional techniques

Test Strategies for Embedded ADC Cores in a System-on-Chip, A Case Study

Testing of a deeply embedded mixed-signal core in a System-on-Chip (SoC) is a challenging issue due to the communication bottleneck in accessing the core from external automatic test equipment. Consequently, in many cases the preferred approach is built-in self-test (BIST), where the major part of test activity is performed within the unit-under-test and only final results are communicated to the external tester. IEEE Standard 1500 provides efficient test infrastructure for testing digital cores; however, its applications in mixed-signal core test remain an open issue. In this paper we address the problem of implementing BIST of a mixed-signal core in a IEEE Std 1500 test wrapper and discuss advantages and drawbacks of different test strategies. While the case study is focused on histogram based test of ADC, test strategies of other types of mixed-signal cores related to trade-off between performance (i.e., test time) and required resources are likely to follow similar conclusions

Two improved methods for testing ADC parametric faults by digital input signals

In this paper, two improved methods are presented extending our previous work. The first one improves the results by adjusting the voltage levels of the input pulse wave stimulus. Compared with the sine wave input stimulus, the four-level pulse wave can detect even more faulty cases with the offset faults. The second one improves the results by calculating the similarity of the output spectra between the golden devices and the DUTs. Compared with the previous method [10], it is less sensitive to the jitter and the change of the rise/fall time of the input pulse wave stimulus. In these two methods, a number of golden devices are tested at first to obtain the fault-free range. At last, a signature result is obtained from both methods. It can filter out the faulty devices in a quick way before testing the specific values of the conventional dynamic and static parameters

A re-configurable pipeline ADC architecture with built-in self-test techniques

High-performance analog and mixed-signal integrated circuits are integral parts of today\u27s and future networking and communication systems. The main challenge facing the semiconductor industry is the ability to economically produce these analog ICs. This translates, in part, into the need to efficiently evaluate the performance of such ICs during manufacturing (production testing) and to come up with dynamic architectures that enable the performance of these ICs to be maximized during manufacturing and later when they\u27re operating in the field. On the performance evaluation side, this dissertation deals with the concept of Built-In-Self-Test (BIST) to allow the efficient and economical evaluation of certain classes of high-performance analog circuits. On the dynamic architecture side, this dissertation deals with pipeline ADCs and the use of BIST to dynamically, during production testing or in the field, re-configure them to produce better performing ICs.;In the BIST system proposed, the analog test signal is generated on-chip by sigma-delta modulation techniques. The performance of the ADC is measured on-chip by a digital narrow-band filter. When this system is used on the wafer level, significant testing time and thus testing cost can be saved.;A re-configurable pipeline ADC architecture to improve the dynamic performance is proposed. Based on dynamic performance measurements, the best performance configuration is chosen from a collection of possible pipeline configurations. This basic algorithm can be applied to many pipeline analog systems. The proposed grouping algorithm cuts down the number of evaluation permutation from thousands to 18 for a 9-bit ADC thus allowing the method to be used in real applications.;To validate the developments of this dissertation, a 40MS/s 9-bit re-configurable pipeline ADC was designed and implemented in TSMC\u27s 0.25mum single-poly CMOS digital process. This includes a fully differential folded-cascode gain-boosting operational amplifier with high gain and high unity-gain bandwidth. The experimental results strongly support the effectiveness of reconfiguration algorithm, which provides an average of 0.5bit ENOB improvement among the set of configurations. For many applications, this is a very significant performance improvement.;The BIST and re-configurability techniques proposed are not limited to pipeline ADCs only. The BIST methodology is applicable to many analog systems and the re-configurability is applicable to any analog pipeline system