Short-pulse propagation technique for characterizing resistive package interconnections

Deutsch, A.; Arjavalingam, G.; Kopcsay, G.V.; Degerstrom, Michael J.

doi:10.1109/33.206927

Cited by 23 publications

(9 citation statements)

References 7 publications

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“…(1). Therefore, we represent these parameters by the six adjustment parameters param[0] to param [5] of multi-objective optimization as follows: Fig. 6.…”

Section: Proposal Of a Fitting Methods Using Multi-objective Optimizationmentioning

confidence: 99%

“…However, since measurements contain noise or error that is specific to the measurements when the measurements are actually made, the conventional methods [5,6] of determining transmission line characteristics based on actual measurements had difficulty in obtaining accurate transmission line characteristics. The reason is that since the conventional methods directly derived the transmission line characteristics from the measurement results of only the frequency characteristics or only the time-based response waveform, the influence of noise or error that is specific to the measurements is directly reflected in the transmission line characteristics.…”

Section: Subjects Involved In Determining Transmission Line Charactermentioning

confidence: 99%

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Proposal for a transmission line analytical method using multi‐objective optimization

Iijima

Murakawa

Kasai

et al. 2007

Electron Comm Jpn Pt II

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SUMMARYRecently, simulations are increasingly important in the design and development of high-speed transmission circuits, and simulations of high-precision transmission lines based on actual measurements are essential. Therefore, in this paper, the authors propose a method of determining transmission line characteristics for implementing high-precision transmission simulations from transmission line measurement results. The authors had previously proposed a method of creating an equivalent circuit model from transmission line characteristics. Combining that method with the method proposed in this paper enables high-precision simulations based on actual measurements to be performed with a circuit simulator such as SPICE according to a procedure that (1) measures transmission lines, (2) determines transmission line characteristics, and (3) creates an equivalent circuit model. The method that is proposed in this paper for determining transmission line characteristics has two features: (1) fitting that simultaneously uses actually measured frequency characteristics and time-based response waveform and (2) fitting that uses multi-objective optimization. Specifically, the authors apply multi-objective optimization using a genetic algorithm to simultaneously fit multiple sets of frequency characteristics and time-based response waveforms. As a result, trial-and-error with weightings among the characteristics is unnecessary and fitting is automated. The results when the proposed method was actually verified by using micro-strip lines clearly showed that a high-precision simulation could be performed with respect to both the frequency and time axes.

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“…(1). Therefore, we represent these parameters by the six adjustment parameters param[0] to param [5] of multi-objective optimization as follows: Fig. 6.…”

Section: Proposal Of a Fitting Methods Using Multi-objective Optimizationmentioning

confidence: 99%

Section: Subjects Involved In Determining Transmission Line Charactermentioning

confidence: 99%

Proposal for a transmission line analytical method using multi‐objective optimization

Iijima

Murakawa

Kasai

et al. 2007

Electron Comm Jpn Pt II

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“…The data vector (y n ), which is the measured TDR-TDT response of the DUT, is used to form the matrices Y 1 …”

Section: A Extraction Of Polesmentioning

confidence: 99%

“…The methods currently available to extract frequency information from time domain reflectometry (TDR) and time domain transmission (TDT) measurements can be classified into five major categories: the short pulse technique [1], the layer peeling algorithm [2], time domain network analysis (TDNA) [3,4], impulse response approximation [5], and model optimization [6]. Each method has been developed to extract different sets of parameters and models for a given device under test (DUT).…”

Section: Introductionmentioning

confidence: 99%

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Extraction ofS-parameters from time domain reflectometry and transmission measurements using rational functions

Pannala

Swaminathan

2002

Int J RF and Microwave Comp Aid Eng

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The extraction of the broad band S-parameter response from transient reflection and transmission measurements is discussed. The proposed method uses the generalized pencil-of-function method, recursive deconvolution, and calibration structures to obtain a response using rational functions. A low loss printed circuit board plane and a lossy thin film plane are characterized to capture the two-port S-parameters. The results are compared with network analyzer measurements. The effects of the measurement parameters such as the sampling interval, time window, and number of averages are shown. The effect of time jitter on the extracted frequency response is quantified through repeated measurements.

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Measurement-Based Modeling Algorithms

Martens

1998

Electronic Packaging and Interconnects Series

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Short-pulse propagation technique for characterizing resistive package interconnections

Cited by 23 publications

References 7 publications

Proposal for a transmission line analytical method using multi‐objective optimization

Proposal for a transmission line analytical method using multi‐objective optimization

Extraction ofS-parameters from time domain reflectometry and transmission measurements using rational functions

Measurement-Based Modeling Algorithms

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