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Bandpass Sampling01:17

Bandpass Sampling

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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.
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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.
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In signal processing, the analysis of continuous-time signals, denoted as x(t), often involves sampling techniques to convert these signals into discrete-time signals. This process is essential for digital representation and manipulation. A critical component in sampling is the train of impulses, characterized by the sampling interval and the sampling frequency. The relationship between these parameters and the original signal's properties dictates the success of the sampling process.
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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...
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Electronic Distance Measuring Instruments (EDMs) are essential tools in modern surveying, offering precise distance measurements by emitting electromagnetic signals and calculating the time required for these signals to travel to a target and return. Two primary types of signals are used in EDMs — light waves and microwaves — each suited to specific environmental and distance requirements. Light-wave-based EDMs utilize either infrared or laser light, providing high accuracy over...
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When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
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Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
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Binary prefix for sampling frequency offset estimation in dispersive optical transmissions.

Lin Cheng, Xiang Liu, Naresh Chand

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    |October 20, 2015
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    Summary
    This summary is machine-generated.

    A new method uses a binary prefix for sampling frequency offset (SFO) estimation in optical systems. This technique offers high tolerance to dispersion and simple digital signal processing for accurate SFO estimation.

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    Area of Science:

    • Optical Communications
    • Digital Signal Processing

    Background:

    • Sampling frequency offset (SFO) is a critical parameter affecting optical communication system performance.
    • Conventional methods like cyclic prefix have limitations in handling chromatic dispersion and require complex processing.

    Purpose of the Study:

    • To propose and demonstrate a novel SFO estimation method for optical communication systems.
    • To evaluate the accuracy, tolerance, and applicability of the proposed binary prefix-based scheme.

    Main Methods:

    • Insertion of a periodically identical binary prefix in optical signals.
    • Utilizing simple receiver-side digital signal processing for SFO estimation.
    • Conducting a proof-of-concept experiment to validate the method.

    Main Results:

    • Accurate SFO estimation with errors under 20 ppb over a wide range (up to 341 ppm).
    • Signal recovery quality equivalent to zero-offset sampling.
    • Demonstrated tolerance to chromatic dispersion and signal-to-noise ratio loss over 40-km fiber.

    Conclusions:

    • The proposed binary prefix method provides a robust and efficient solution for SFO estimation in optical systems.
    • The scheme is compatible with advanced modulation formats and dispersive fiber transmission.
    • This technique simplifies receiver design and enhances system performance.