Computer-aided optimization of adjacent channel power in nonlinear communications amplifiers

Borich, V.; East, J.R.; Haddad, G.I.

doi:10.1109/mwsym.2000.861060

Cited by 2 publications

(3 citation statements)

References 8 publications

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“…Several of the principles presented in this article have already been reported [13]. This article extends the authors' previous work to allow optimization of larger circuits in an efficient way.…”

Section: Introductionsupporting

confidence: 57%

“…(10). Note that the computation of envelope sensitivities involves solutions, one for each parameter, of linear systems similar to those that arise in the solution of the Newton-Raphson iteration (13).…”

Section: Envelope Sensitivity Equationmentioning

confidence: 99%

“…A large-scale problem is one that necessitates the application of iterative methods to the solution of the Newton-Raphson iteration (13).…”

Section: Numerical Solution Of the Sensitivity Equationmentioning

confidence: 99%

See 2 more Smart Citations

Gradient optimization of RF amplifiers for digital communications

Borich

East

Haddad

2000

Int J RF and Microwave Comp Aid Eng

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A gradient optimization methodology for use with nonlinear envelope simulation is presented. Emphasis is placed on efficient evaluation of cost function gradients. To this end, an envelope sensitivity equation is derived and methods for its efficient solution are proposed. In the case of circuits of moderate size, the solution of the sensitivity equation is shown to be simple and inexpensive. The more troublesome case of larger circuits is treated by a novel application of a recently developed iterative linear equation solver. The result is a general-purpose, rigorous optimization methodology for the fine tuning of gain, adjacent channel power, power efficiency, and related performance measures in radio frequency (RF) amplifiers for digital communications. As an illustrative example, the optimization of a feedforward-linearized power amplifier is presented.

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Section: Introductionsupporting

confidence: 57%

Section: Envelope Sensitivity Equationmentioning

confidence: 99%