MTT-S Distinguished Microwave Lecturer 講演会のご案内

                        IEEE MTT-S Japan Chapter Chair                                  高山 洋一郎 下記によりIEEE MTT-S Distinguished Microwave Lecturer 講演会を開催いたします。今回の DML講演者はトランジスタのRootモデルで有名なAgilent Technologies社のDavid Root氏です。 "Nonlinear Analog Behavioral Modeling of Microwave Devices and Circuits"に ついてご講演を戴きます。皆様、多数のご参加をお願いいたします。                  記 事前登録のお願い:講演会参加ご希望の方は下記フォーマットにて  9月26日までに、幹事 常信 joshin@ieee.org 宛にメール送信願います。 アジレントテクノロジー社のご好意により食堂にてご昼食をおとり頂くことは可能ですが 社員の方の同行が必要です。昼食(有料)をとられる方は12時15分までに講演会場にご参集を お願いいたします。 八高線でご来場の場合、八王子 12:00発と12:38発の電車が好都合です。 ******************************************************************* DML講演会(9/29)に参加を申し込みます。   ご 氏 名:   ご 所 属:   Eメール :   IEEE会員 :   はい   いいえ   社員食堂の利用: はい   いいえ(どちらか削除をお願いします。) ******************************************************************* IEEE会員でない方の聴講も歓迎致します。 なお、事前登録がない方のご参加も可能です。 当日、「IEEE MTT Society DMレクチャーに参加する」と アジレントテクノロジー社受付にてお伝え下さい。

Dr. David Root

Principle Research Scientist Worldwide Process and Technology Centers Agilent Technologies 1400 Fountaingrove Parkway Santa Rosa, CA 95403 USA

講演概要 Modern microwave systems are designed in a top-down hierarchical process, with specifications starting at the system level, propagating down towards the subsystem, module, integrated circuit, and finally to the level of the transistor, resistor, and other fundamental electronic building blocks. A complimentary bottom-up process combines accurate representations of the building blocks at one level of abstraction to create or verify a functional block at the next higher level of design complexity. At a low level in the design hierarchy is the nonlinear device, or transistor. A detailed model, involving the simulation of the many coupled partial differential equations of physics is often needed to design such a device. However, one cannot simulate an entire IC at this physically detailed level. The complexity of the problem is overwhelming in terms of computer resources and time. Instead, for the purpose of integrated circuit design, transistor terminal (behavioral) characteristics can be abstracted into 'compact' nonlinear models (SPICE models) and their interaction simulated at the circuit level. Analogously, modern communication systems are sufficiently complex to preclude their complete simulation at the compact transistor model level of description. There are simply too many nonlinear equations to solve to make this practical. Instead, the input-output behavior of the ICs can be abstracted into functional block behavioral models, and the simulations done at the next higher abstraction level. This lecture introduces general concepts and specific techniques for effective (efficient, general, and accurate) nonlinear behavioral modeling of microwave semiconductor devices and functional circuit blocks. A behavioral model is a simplified but accurate model of a lower-level component in the design hierarchy that simulates efficiently at the next higher level of abstraction. A unified treatment at both the device and functional block level is a distinguishing feature of this presentation. So too is the application to behavioral models constructed from real measurements and also from simulations starting from a detailed (complex) model. The emphasis is placed on the combination of nonlinearity and dynamics. Nonlinearity includes harmonic and inter-modulation distortion, clipping, etc. Dynamics includes frequency-dependence and long-term memory effects from a variety of physical origins. In the realm of dynamic nonlinearities, insight from linear analysis cannot always be applied. Superposition is not generally valid, the Fourier domain is less useful, and Green functions don't exist. No fully general or overarching theories of nonlinear dynamical systems exist that are comparable to what exists for linear systems. Nevertheless, great progress has been made recently in nonlinear behavioral modeling. In fact, this lecture suggests we are at the threshold for full interoperability of large-signal measurement systems, modeling approaches, and simulation algorithms for nonlinear hierarchical behavioral modeling. This means we can begin to do for driven nonlinear microwave systems what small-signal S-parameters enable for linear systems.