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Related Concept Videos

Design Example01:23

Design Example

316
The innovation of touch-tone telephony revolutionized the telecommunications industry by replacing the traditional rotary dial with a dual-tone multi-frequency (DTMF) signaling system. This system uses a matrix-style keypad with buttons arranged in four rows and three columns, creating 12 distinct signals each assigned to a pair of frequencies. Each button press results in a simultaneous generation of two sinusoidal tones – one from a low-frequency group (697 to 941 Hz) and one from a...
316
Bandpass Sampling01:17

Bandpass Sampling

160
In signal processing, bandpass sampling is an effective technique for sampling signals that have most of their energy concentrated within a narrow frequency band. This type of signal is known as a bandpass signal. The key principle of bandpass sampling involves sampling the signal at a rate that is greater than twice the signal's bandwidth to prevent aliasing.
A bandpass signal has a spectrum with a lower frequency limit, denoted as ω1, and an upper frequency limit, denoted as ω2....
160
Upsampling01:22

Upsampling

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Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
200
Aliasing01:18

Aliasing

117
Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original...
117
Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

167
Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
167
Time and frequency -Domain Interpretation of Phase-lead Control01:24

Time and frequency -Domain Interpretation of Phase-lead Control

76
Phase-lead controllers are commonly used in various control systems to enhance response speed and stability. Adjusting the brightness on a television screen offers a practical example of phase-lead control. When contrast is enhanced, a phase-lead controller is employed. Mathematically, phase-lead control is identified when the first parameter is smaller than the second.
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Related Experiment Video

Updated: Jun 2, 2025

Microwave Photonics Systems Based on Whispering-gallery-mode Resonators
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Photonics-assisted analog windowing and matched filtering.

Jichen Weng, Weiwei Liu, Mengwei Liu

    Optics Letters
    |January 16, 2025
    PubMed
    Summary
    This summary is machine-generated.

    This study integrates windowing and matched filtering for broadband signals using microwave photonics. The novel analog domain method enhances radar system processing speed and target detection capabilities.

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    Area of Science:

    • Microwave Photonics
    • Signal Processing
    • Analog Integrated Circuits

    Background:

    • Traditional radar systems face challenges in processing high-bandwidth signals efficiently.
    • Integrating windowing and matched filtering is crucial for improving radar performance.
    • Analog domain processing offers potential advantages in speed and reduced complexity.

    Purpose of the Study:

    • To propose and validate an integrated analog domain method for windowing and matched filtering.
    • To leverage microwave photonic technology for broadband signal processing.
    • To enhance the performance of radar systems in target detection.

    Main Methods:

    • Utilizing optical waveguide dispersion for analog windowing of broadband signals.
    • Employing surface acoustic wave filters (SAWF) for radio frequency (RF) matched filtering.
    • Integrating optical and RF domain processing for a unified analog solution.

    Main Results:

    • Successful simulation and experimental validation of the integrated method.
    • Achieved a peak-to-sidelobe ratio (PSLR) of -19.55 dB for a 1 GHz linear frequency modulation (LFM) signal.
    • Observed a mainlobe width (MLW) broadening to 0.16 ns with maximum dispersion.

    Conclusions:

    • The proposed integrated analog method effectively combines windowing and matched filtering.
    • This approach significantly reduces the processing load on radar systems.
    • The method improves the response speed of broadband radar systems for target detection.