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Related Concept Videos

Passive Filters01:27

Passive Filters

1.0K
Passive filters are utilized to shape the frequency spectrum of signals across a diverse array of applications. These filters, using only passive elements like resistors (R), inductors (L), and capacitors (C), are capable of selectively allowing or blocking certain frequency ranges without the need for external power sources.
Low-Pass Filters
Low-pass filters are designed to transmit signals with frequencies lower than the cutoff frequency, ωc, and attenuate those above it. The cutoff...
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Active Filters01:25

Active Filters

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Active filters are electronic circuits that use operational amplifiers (op-amps), resistors, and capacitors to filter out unwanted frequency components from a signal. A first-order low-pass active filter is designed to pass signals with a frequency lower than a certain cutoff frequency and attenuate frequencies higher than that cutoff frequency. The transfer function for a first-order low-pass active filter is:
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Optimal Foraging

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How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.
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Optimization Problems01:26

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Optimization problems often involve identifying maximum or minimum values under specific constraints. A well-known example is determining the longest horizontal pipe that can be moved around a right-angled corner, where a 3-meter-wide hallway meets a 2-meter-wide hallway. This scenario, common in architectural design and industrial transport, can be understood conceptually through geometric and trigonometric reasoning.To visualize the problem, consider the pipe as a straight line that touches...
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Chromatographic Resolution01:15

Chromatographic Resolution

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In chromatography, a solute moves through a chromatographic column and tends to spread, forming a Gaussian-shaped band. The longer the solute spends in the column, the broader the band becomes. The broadening can lead to overlaps within the column, affecting separation effectiveness.
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In chromatography,...
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Optimal Arousal Theory01:23

Optimal Arousal Theory

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The optimal arousal theory suggests that performance is maximized when an individual experiences a moderate level of arousal. This theory is closely tied to the Yerkes-Dodson law, which illustrates an inverted U-shaped relationship between arousal and performance. The law, formulated by psychologists Robert Yerkes and John Dodson, implies an ideal arousal level for optimal performance, and deviations from this level can lead to declines in effectiveness.
Inverted U-Shaped Performance Curve
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Tunable optical-microwave filters optimized for 100 MHz resolution.

Richard A Soref, Francesco De Leonardis, Vittorio M N Passaro

    Optics Express
    |August 17, 2018
    PubMed
    Summary

    New silicon photonic filters enable tunable radio frequency (RF) applications. These devices offer reconfigurable multiplexing and channel selection for RF spectrum analyzers and receivers.

    Area of Science:

    • Photonics and Optical Engineering
    • Integrated Optics
    • Radio Frequency (RF) Systems

    Background:

    • Silicon photonics offers a promising platform for integrated RF systems.
    • Tunable filters are crucial for reconfigurable RF signal processing.
    • Existing solutions often lack the required bandwidth and tunability.

    Purpose of the Study:

    • To propose and analyze novel continuously tunable RF filters on a silicon-on-insulator (SOI) platform.
    • To enable advanced RF system-on-a-chip (SoC) applications.
    • To achieve reconfigurable multiplexing, demultiplexing, and RF channel selection.

    Main Methods:

    • Design of narrowband 2x2 Mach-Zehnder interferometer (MZI) tuned filters.
    • Utilizing N closely coupled Bragg-grating resonators for effective waveguide resonators.

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  • Optimization of 3-dB bandwidth (BW) using the number of periods (M) and silicon side teeth.
  • Simulations employing thermo-optical tuning via micron-scale heater stripes.

    • Main Results:

    • Simulated continuous tuning over 18.6 GHz for 100 MHz-BW devices with a temperature change of 0-48K.
    • Achieved filter BWs in the 0.1 to 1 GHz range.
    • Demonstrated low insertion loss (IL) of -0.74 dB with BW of 1210 MHz for specific parameters (N=3, M=44).
    • Reported IL = -10.7 dB, BW = 80.5 MHz for M=58.

    Conclusions:

    • The proposed MZI-based tunable filters are suitable for advanced RF SoC applications.
    • The design allows for precise engineering of BW and continuous tuning.
    • This work advances the integration of RF and photonic functionalities on a single chip.