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Related Concept Videos

Aliasing01:18

Aliasing

124
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...
124
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...
217

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Frame-rate adaptive fractionally spaced equalization enabled high-throughput optical camera communication.

Shiwen Chen, Meng Xiang, Gai Zhou

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    |August 15, 2024
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    Summary
    This summary is machine-generated.

    This study introduces a frame-rate adaptive fractionally spaced equalization (FA-FSE) algorithm to boost optical camera communication (OCC) throughput. The novel method effectively tackles inter-symbol interference and timing offsets, achieving a record data rate.

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    Area of Science:

    • Wireless Communication
    • Optical Communication
    • Signal Processing

    Background:

    • Optical Camera Communication (OCC) offers EMI immunity and efficient spectrum use.
    • Existing OCC systems suffer from limited bandwidth and timing offsets, reducing throughput.
    • Inter-symbol interference (ISI) further degrades performance in OCC.

    Purpose of the Study:

    • To enhance the throughput of Optical Camera Communication (OCC) systems.
    • To jointly mitigate inter-symbol interference (ISI) and timing offset in OCC.
    • To propose and experimentally demonstrate a novel frame-rate adaptive fractionally spaced equalization (FA-FSE) algorithm.

    Main Methods:

    • Development of a frame-rate adaptive fractionally spaced equalization (FA-FSE) algorithm.
    • Experimental demonstration of the FA-FSE algorithm in an OCC system.
    • Utilizing 8-level pulse amplitude modulation (PAM-8) with eight chip-on-board light emitting diode (COB-LED) light strips.

    Main Results:

    • The FA-FSE algorithm successfully mitigated severe ISI and timing offset.
    • The system achieved a record aggregated throughput of 250.96 kbit/s.
    • The algorithm demonstrated correct and power-efficient functionality.

    Conclusions:

    • The FA-FSE algorithm is a viable solution for enhancing OCC system throughput.
    • The proposed method overcomes key limitations of current OCC technology.
    • This advancement paves the way for more efficient optical wireless communication.