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Upsampling

Upsampling

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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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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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...

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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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Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

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Adaptive multi-band modulation for robust and low-complexity faster-than-Nyquist non-orthogonal FDM IM-DD systems.

Peiji Song, Zhouyi Hu, Yuan Liu

|November 14, 2024

Summary

This study introduces adaptive multi-band modulation for Faster-than-Nyquist non-orthogonal frequency-division multiplexing (FTN-NOFDM) in optical systems. The novel approach improves bit-error-rate performance and significantly reduces computational complexity.

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Area of Science:

Optical communication systems
Digital signal processing
Modulation techniques

Background:

Faster-than-Nyquist non-orthogonal frequency-division multiplexing (FTN-NOFDM) offers robustness in bandwidth-limited optical systems.
Non-orthogonal matrix precoding (NOM-p) based FTN is compatible with existing OFDM digital signal processing (DSP).

Purpose of the Study:

Propose a novel FTN-NOFDM scheme with adaptive multi-band modulation.
Enhance channel utilization and reduce computational complexity in optical communication systems.

Main Methods:

Dividing single-band NOM-p into multiple-band NOM-p.
Assigning adaptive Quadrature Amplitude Modulation (QAM) levels to different sub-bands.
Experimental analysis in a 32.23-Gb/s, 20-km intensity modulation-direct detection (IM-DD) optical transmission system.

Main Results:

The proposed scheme demonstrates improved bit-error-rate (BER) performance with an optimal number of sub-bands.
Significant reduction in computational complexity compared to conventional single-band FTN-NOFDM.
Effective utilization of the low-pass-like channel characteristics.

Conclusions:

Adaptive multi-band modulation is a viable technique for FTN-NOFDM in optical systems.
The proposed scheme offers a trade-off between performance and complexity.
Optimizing sub-band configuration is key to maximizing benefits.