Roni Khazaka’s research while affiliated with McGill University and other places

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Publications (106)


Efficient and accurate model order reduction of interconnect networks in the presence of incident fields
  • Conference Paper

November 2004

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5 Reads

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2 Citations

T.S. Roseanu

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R. Khazaka

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P. Gunupudi

At high frequencies, interconnects can act as spurious antennas and result in signal degradation. An electromagnetic interference (EMI) analysis is therefore an important part of the design process. In this work an efficient method using projection based model order reduction is presented for efficient EMI analysis of high-speed interconnects. This approach builds on previous advances in model order reduction of transmission line networks and extends them to the case of lines excited by incident fields.


Closed-form parameterized simulation of high-speed transmission line networks using model-reduction techniques

July 2004

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7 Reads

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5 Citations

IEEE MTT-S International Microwave Symposium digest. IEEE MTT-S International Microwave Symposium

During the design of microwave circuits there is a significant need for efficient and accurate analysis of components with respect to environmental effects, thermal effects, manufacturing variations and fluctuations in the critical dimensions of transmission lines. However, increased integration levels and higher signal speeds in microwave devices and modules have produced the need to include transmission line effects previously neglected during circuit simulation. Accurate prediction of these effects involve solution of large systems of equations, the direct simulation of which is prohibitively CPU expensive. In this paper, we propose an algorithm to form closed-form expressions for the response of microwave circuits as a function of any design parameter in the network. This is achieved by the use of parameterized model reduction techniques in conjunction with a popular rational approximation algorithm vector-fit. The proposed algorithm was applied to transmission line networks and a significant speed-up was achieved.


Parametric circuit reduction for steady-state simulation with multi-tone inputs

July 2004

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14 Reads

IEEE MTT-S International Microwave Symposium digest. IEEE MTT-S International Microwave Symposium

P. Pai

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R. Khazaka

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[...]

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A new algorithm based on projection techniques is proposed for constructing parameterized reduced order systems of nonlinear equations. The resulting reduced system can be used to trace the variation in the steady-state solution in response to variations in any arbitrary circuit or physical parameter. Experimental results show up to two orders-of-magnitude reduction in the problem size required in conventional harmonic balance technique.


The creation of thermal sub-models of electronic components using model reduction

July 2004

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13 Reads

This paper presents a new approach to thermal modeling using sub-models. We show how to efficiently create thermal sub-models based on a multi dimensional model reduction technique. These sub-models are then used to allow for fast simulation of complex parts and build higher order sub-models. In the paper multi dimensional thermal sub-models of realistic IC components such as an MMIC power amplifier for a fiber optic transmitter system and a generic multi-chip module ball grid array package are generated. Each sub-model is attached to a base detailed model such as a PCB or substrate, creating a thermal model of the entire system, allowing a quick thermal analysis to be performed of large systems. The thermal sub-models presented demonstrate a small model size, short simulation time, and high accuracy in the prediction of all internal temperatures with an error less than 2.5%.


Computing large-change sensitivity of periodic responses of nonlinear circuits using reduction techniques

June 2004

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9 Reads

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1 Citation

This work presents a new technique for computing large-change sensitivity (LCS) of steady-state operating point in nonlinear circuits. The basic idea underlying the algorithm is the construction of a reduced system of nonlinear equations that preserves the derivatives of steady-state response with respect to the desired network parameters. Large change variations are then obtained by solving the reduced systems instead of the original one.


Creation of compact thermal models of electronic components using model reduction

April 2004

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38 Reads

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17 Citations

Annual IEEE Semiconductor Thermal Measurement and Management Symposium

This paper presents a new approach to create boundary condition independent thermal compact models based on the multidimensional model reduction (MDMR) technique. A methodology is developed for the generation of a multi dimensional compact model (MDCM) from a detailed numerical model. The MDCM is shown to have a number of advantages over resistor network models. The generation of the model is at least an order of magnitude faster then the creation of an optimized network model. The MDCM displays very high accuracy typically better than 0.1%, is very flexible allowing for the prediction of all internal temperatures, and presents no limitations on the external configuration of the compact model. A generic multi-chip module ball grid array (MCMBGA) package is used to demonstrate the technique. The MDCM created shows to have high predictive capability, boundary condition independence and a small model size. Finally, by connecting the MDCM to a printed circuit board model and simulating the system, speed ups of around 100 times are achieved.


Passive parameterized time-domain macromodels for high-speed transmission-line networks

January 2004

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24 Reads

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107 Citations

IEEE Transactions on Microwave Theory and Techniques

There is a significant need for efficient and accurate macromodels of components during the design of microwave circuits. Increased integration levels in microwave devices and higher signal speeds have produced the need to include effects previously neglected during circuit simulations. Accurate prediction of these effects involve solution of large systems of equations, the direct simulation of which is prohibitively CPU expensive. In this paper, an algorithm is proposed to form passive parametrized macromodels of large linear networks that match the characteristics of the original network in time, as well as other design parameters of the circuit. A novel feature of the algorithm is the ability to incorporate a set of design parameters within the reduced model. The size of the reduced models obtained using the proposed algorithm were less than 5% when compared to the original circuit. A speedup of an order of magnitude was observed for typical high-speed transmission-line networks. The algorithm is general and can be applied to other disciplines such as thermal analysis.


Multidimensional time-domain macromodels for microwave applications

July 2003

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8 Reads

IEEE MTT-S International Microwave Symposium digest. IEEE MTT-S International Microwave Symposium

During the design of microwave circuits there is a significant need for efficient but accurate macromodels of components. These macromodels are derived from physical models of the components and may model either electrical or thermal behavior. However, increased levels of integration and higher power levels in microwave devices and modules have produced a need to include effects previously neglected during simulations. Accurate prediction of these effects involve solution of large systems of equations, the direct simulation of which is prohibitively CPU expensive. In this paper, an algorithm is proposed to form passive reduced-order macromodels of large linear networks that match the characteristics of the original network in time as well as other design parameters of the circuit. A novel feature of the algorithm is the ability to incorporate a set of design parameters within the reduced model.


Analysis of transmission line circuits using multidimensional model reduction techniques

June 2002

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13 Reads

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60 Citations

IEEE Transactions on Advanced Packaging

This paper presents a new technique to reduce the order of transmission line circuits simultaneously with respect to multiple parameters. The reduction is based on multidimensional congruence transformation. The proposed algorithm provides efficient means to estimate the response of large distributed circuits simultaneously as a function of frequency and other design parameters.


Compact Macromodel for Lossy Coupled Transmission Lines
  • Conference Paper
  • Full-text available

February 2002

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45 Reads

This paper describes a systematic algorithm for obtaining passive time domain reduced order transmission line macromodels. The proposed algorithm makes use of a new order reduction technique that removes the redundant poles obtained using conventional order reduction methods. The reduced macromodel is passive by construction. I. Summary At high frequencies interconnects are treated as multiconductor transmission lines. While such distributed models provide the necessary accuracy for simulation, they are best described in the frequency domain. This presents a challenge for the time domain transient simulation of nonlinear circuits. Various discretization techniques for obtaining a time domain representation

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Citations (58)


... The proposed PEEC-MOR method is validated through numerical results in both the frequency domain and time domain. Data-driven derivative-enhanced modeling techniques have proven to be successful in building accurate models with a reduced computational effort [16], [17], [18]. ...

Reference:

Derivatives-Enhanced Proper Orthogonal Decomposition for PEEC Models With Delays
Derivative-Enhanced Rational Polynomial Chaos for Uncertainty Quantification
  • Citing Article
  • April 2024

IEEE Transactions on Circuits and Systems I Regular Papers

... Indeed, working in a real environment, outside of anechoic chamber, may degrade the dynamic range. Otherwise, employing two orthogonal polarizations (for UL and DL components of the E-wave) or two different harmonic frequency (using a harmonic transponder [6]- [7]) for transmission of the DL E-wave) and reception (UL E-wave) can significantly enhance the signal's dynamic range with the price of increasing system complexity. ...

Single-Ended Reconfigurable Wireless Power Harvesting and Harmonic Backscattering
  • Citing Conference Paper
  • June 2023

... The Dickson rectifier in Figure 1 was demonstrated in the '70s by John F. Dickson [10]. In recent times, due to the practicality and simplicity of the Dickson rectifier, it has commonly been found and implemented in various charge pump and voltage doubler circuitry [11]- [16]. The coupling capacitor C1 charges during VRF < -VDIODE through D1 and functions as a doubler during VRF > VDIODE through D2 to transfer the charges to CL to generate VOUT = 2(|VRF| -VDIODE). ...

Improving Temperature Stability of Dickson Charge Pump Rectifiers for Battery-Free Wireless Sensing Applications
  • Citing Conference Paper
  • June 2023

... Indeed, the polymer material involved in the additive manufacturing as well as the added conductor have a major impact on the RFEH performances and it is one of the main issues of the paper to quantify the impact and discuss the pertinence of the manufacturing process proposal in this context. [14], B- [15], C- [16], D- [17], E- [15], F- [15], G- [8], H- [8], I- [18], J- [19], K- [20], L- [21], M- [22], N- [4], O- [23], P- [24], Q- [25], R- [25], S- [26], T- [26], U- [27], V- [27], W- [28], X- [29], Y- [30], Z- [31], AA- [32], BB- [33], CC- [33], DD- [34], EE- [9], FF- [35], GG- [32], HH- [36], II- [28], JJ- [37], KK- [5], LL- [19], MM- [38], NN- [39], OO- [31], PP- [40], QQ- [41], RR- [42], SS- [43], TT- [44], UU- [45] 3D Plastronics allows integrating electronic functions at the surface of the polymer housing of an object by selective metallization of conductive traces and placement of Surface Mount Devices (SMD) [46,47]. 3D Plastronics is the terminology now accepted by the IPC organization [48], but it is also known as Molded Interconnect Devices or Mechatronic Integrated Devices (MID) [47]. ...

Thermal Effects on Low-Power RF-to-dc Voltage Multiplier for Battery-Free Sensing and IoT

... High efficiency transponder designs have been studied extensively. And a variety of diode types [21] [12], topologies [13] and operating modes [22] are investigated to improve the harmonic conversion efficiency. However, the approaches are only effective for a limited number of cooperative scenarios. ...

Nonlinearity and Parametrization of Schottky Diodes-Based Battery-Free Harmonic Transponder for Millimeter-Wave 5G Applications

... An item's level of participation in a fuzzy set indicates the extent to which it shares that set's defining features or attributes. If U is the space of uncertainty, then ωà is the membership function connected to each of its constituents in the fuzzy set Ã. Then the representation of fuzzy set is given by (Chamoun & Nour, 2021;Kassis et al., 2019;Saab & Saab, 2019): ...

Moments-Based Sensitivity Analysis of X-Parameters with respect to Linear and Nonlinear Circuit Components
  • Citing Conference Paper
  • October 2019

... However, this can be achieved by leveraging a form of model selection. To this aim, we note that VF has already been coupled with model selection strategies [34,33], as a way to overcome one of its main limitations, namely, the need to fix the "surrogate complexity" m in advance. Without going into too many details, such model selection strategies generally work by using VF to independently build several rational approximations with different values of m, and then selecting the rational approximant characterized by the lowest approximation error 2 . ...

A Novel Framework for Parametric Loewner Matrix Interpolation
  • Citing Article
  • October 2019

IEEE Transactions on Components, Packaging, and Manufacturing Technology

... The subspace methods including ORT, N4SID, MOESP, CVA) were used for the linear state space identification with different probing tests [36][37][38]. Afterwards, many variants of transfer function identification methods [8,13,[39][40][41][42][43][44][45][46][47][48] and state space identification methods [6,15,22,[49][50][51][52] were developed for data-driven control in the context of power grid applications such as damping control, voltage control and microgrid control (primary, secondary and tertiary) and aggregated load control. Generally, both transfer function and linear state space methods can represent systems well using a locally linearized model around a fixed operating point under the assumption that the system is an LTI (linear time-invariant). ...

A Loewner Interpolation Method for Power System Identification and Order Reduction
  • Citing Article
  • November 2018

Power Systems, IEEE Transactions on

... This includes time domain approaches such as Latency Insertion Method [2]. Another type of simulation method is the use of Harmonic Balance moments to compute the X-parameters for circuits excited with single or multiple input frequencies [3][4][5]. This approach allows for the computation of a complete set of X-parameters for the given system. ...

Computation of the X-Parameters of Multi-Tone Circuits using Multipoint Moment Expansion
  • Citing Conference Paper
  • October 2017

... This includes time domain approaches such as Latency Insertion Method [2]. Another type of simulation method is the use of Harmonic Balance moments to compute the X-parameters for circuits excited with single or multiple input frequencies [3][4][5]. This approach allows for the computation of a complete set of X-parameters for the given system. ...

Computation of X-Parameters Using Multipoint Moment Expansion
  • Citing Article
  • September 2017

IEEE Transactions on Components, Packaging, and Manufacturing Technology