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Related Concept Videos

Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

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Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
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Linear Approximation in Frequency Domain01:26

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Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
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Updated: May 25, 2025

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Thinned Linear Optical Phased Array Design Through a Pareto-Optimal Synthesis Strategy.

Xueqing Yang1,2, Nicola Anselmi1,2, Paolo Rocca1,2,3

  • 1ELEDIA Research Unit, CNIT-University of Trento, Via Sommarive 9, 38123 Trento, Italy.

Sensors (Basel, Switzerland)
|February 26, 2025
PubMed
Summary
This summary is machine-generated.

This study optimizes the design of thinned linear optical phased arrays (OPAs) by strategically removing elements. The goal is to reduce component count while maintaining performance, using multi-objective optimization for waveguide grating antennas (WGAs).

Keywords:
multi-objective optimizationoptical phased arrays (OPAs)thinned arrayswaveguide grating antennas (WGAs)

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Area of Science:

  • Photonics
  • Antenna Engineering
  • Optimization Techniques

Background:

  • Linear optical phased arrays (OPAs) are crucial for beam steering.
  • Fully populated arrays can be complex and costly.
  • Thinning arrays offers a path to reduced complexity and cost.

Purpose of the Study:

  • To develop an optimization strategy for designing thinned linear OPAs.
  • To minimize the number of antenna elements in an OPA.
  • To maintain low sidelobe levels and narrow beam width in thinned OPAs.

Main Methods:

  • Formulating element selection as an optimization problem.
  • Employing a multi-objective optimization strategy.
  • Utilizing realistic waveguide grating antenna (WGA) modeling.

Main Results:

  • A method for defining optimal thinning architectures for linear OPAs.
  • Demonstration of reduced element count with maintained performance.
  • Assessment of the proposed approach using WGA modeling.

Conclusions:

  • The proposed multi-objective optimization effectively designs thinned linear OPAs.
  • This approach balances component reduction with desired beam characteristics.
  • The method shows potential for practical OPA design and implementation.