Jun Fan

Bio: Jun Fan is an academic researcher from Missouri University of Science and Technology. The author has contributed to research in topics: Equivalent circuit & Printed circuit board. The author has an hindex of 36, co-authored 482 publications receiving 5641 citations. Previous affiliations of Jun Fan include Ulsan National Institute of Science and Technology & University of Missouri.

Providing decoupling capacitors in a circuit board

Abstract: A circuit board includes first and second reference plane layers. A first decoupling capacitor is mounted to a surface of the first reference plane layer, and a second decoupling capacitor is mounted to a surface of the second reference plane layer. Vias extend generally along a first direction through the circuit board. The first and second decoupling capacitors are aligned generally along the first direction to increase an amount of space through which the vias are extendable.

WISe: Wireless Intelligent Sensing for Human-Centric Applications

Abstract: Contactless sensors based on electromagnet-wave (EM-wave) have great potential for human centric applications due to advantages, such as privacy, convenience, and affordability. Traditional researches usually focus on specific topics, such as hardware designs or software algorithms, however, a practical wireless sensing system covers multiple domains and technologies. Hence, a systematic framework of Wireless Intelligent Sensing (WISe) is proposed, for the first time, and a low-noise EM-wave system architecture is presented in this article. The proposed framework and architecture make use of intelligent resources to minimize the noise in hardware and digital signal processing for various human-centric practical applications. WISe empowered healthcare applications and in-vehicle safety monitoring are shown to demonstrate the effectiveness of the proposed framework and architecture.

Training Set Optimization in an Artificial Neural Network Constructed for High Bandwidth Interconnects Design

Abstract: In this article, a novel training set optimization method in an artificial neural network (ANN) constructed for high bandwidth interconnects design is proposed based on rigorous probability analysis. In general, the accuracy of an ANN is enhanced by increasing training set size. However, generating large training sets is inevitably time-consuming and resource-demanding, and sometimes even impossible due to limited prototypes or measurement scenarios. Especially, when the number of channels in required design are huge such as graphics double data rate (GDDR) memory and high bandwidth memory (HBM). Therefore, optimizing the training set selection process is crucial to minimizing the training datasets for developing an efficient ANN. According to rigorous mathematical analysis of the uniformity of the training data by probability distribution function, optimization flow of the range selection is proposed to improve accuracy and efficiency. The optimal number of training data samples is further determined by studying the prediction error rates. The performance of the proposed method in terms of accuracy is validated by comparing the scattering parameters of arbitrarily chosen strip and microstrip type GDDR interconnects obtained from EM simulations with those predicted by ANNs using default and the proposed training-set selection methods.

Investigation of statistical eye-diagram estimation method for HBM including ISI, X-talk, and power noise

Abstract: Statistical link analysis and link budget calculation is the essential part for current high-speed system design. Because of the difficulty of low bit-error rate (BER) simulation at SPICE transient solver, several methods were proposed to simulate low BER in a short time. Single-bit response (SBR) method is the most basic method; it uses SBR to construct the arbitrary waveform under the assumption of linear and time-invariant (LTI) system. However it cannot be applied to real system because I/O drivers are nonlinear. There exists a method to include these nonlinearity of real system, which is called as multiple-edge response (MER) method. There's a few paper to explain MER method, but no paper covers statistical analysis for the real system including ISI, x-talk, and power noise. In this paper, we demonstrate MER method for simple, but real HBM channel and also shows calculation burden of MER as the number of channels increase or MER order increases. Additionally, simple concept is proposed to apply MER on real HBM channel with more than a thousand I/Os.

I and i

Abstract: There is, I think, something ethereal about i —the square root of minus one. I remember first hearing about it at school. It seemed an odd beast at that time—an intruder hovering on the edge of reality. Usually familiarity dulls this sense of the bizarre, but in the case of i it was the reverse: over the years the sense of its surreal nature intensified. It seemed that it was impossible to write mathematics that described the real world in …

IEEE Transactions on Microwave Theory and Techniques and Antennas and Propagation Announce a Joint Special Issue on Ultra-Wideband (UWB) Technology

Abstract: Before the emergence of ultra-wideband (UWB) radios, widely used wireless communications were based on sinusoidal carriers, and impulse technologies were employed only in specific applications (e.g. radar). In 2002, the Federal Communication Commission (FCC) allowed unlicensed operation between 3.1–10.6 GHz for UWB communication, using a wideband signal format with a low EIRP level (−41.3dBm/MHz). UWB communication systems then emerged as an alternative to narrowband systems and significant effort in this area has been invested at the regulatory, commercial, and research levels.