概括
这项研究表明,一个自适应的MIMO过器有效地处理使用分量采样在长途光纤传输中的时间偏移. 一个干扰取消器进一步降低了在子符号率的性能处罚.
科学领域:
- 光学通信是指光学通信.
- 信号处理 信号处理
- 光纤光学是指光纤的使用.
背景情况:
- 长途空间分割多重传输系统 (SDM) 面临的挑战是采样时间偏移和符号间干扰 (ISI).
- 适应式多输入多输出 (MIMO) 过器对于在先进光学网络中减轻信号退化至关重要.
- 副符号率抽样提供了潜在的好处,但需要对时间不准确性进行强有力的补偿技术.
研究的目的:
- 为了评估频域自适应MIMO过器的性能,使用非整数分量采样用于远程SDM传输.
- 为了评估过器对采样时间偏移在子符号速率的耐受性.
- 调查适应干扰取消器在降低采样率的情况下减轻ISI的有效性.
主要方法:
- 数字模拟32Gbaud的极化-分裂多重复方位相位转换 (PDM-QPSK) 信号通过四合核心光纤 (4-CCF).
- 使用8x8频域自适应MIMO过器,以分数采样速率工作 (例如7/8x,15/16x符号速率).
- 将自适应干扰取消器与初步决策结果集成在一起,以生成干扰复制品.
主要成果:
- 分量采样自适应MIMO过器在100x100公里传输后在一个符号周期计时偏移范围内保持了前向错误校正 (FEC) Q因子几乎恒定.
- 使用自适应干扰取消器在15/16x采样时,性能处罚降低了1dB,而在100x100公里后的2x过量采样则降低了1dB.
- 实验验证证了采样时间偏移补偿和ISI缓解在循环循环中超过6240公里.
结论:
- 具有分量采样的自适应MIMO过器在长途SDM系统中显示出优异的时间偏移容忍度.
- 适应性干扰取消器在子符号率抽样时显著减轻ISI处罚,提高了整体系统性能.
- 提出的技术对于高 baud 率 PDM-QPSK 传输在合核心多核纤维上是有效的.
更多相关视频
09:01Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques
Published on: April 4, 2017
15:25Design and Characterization Methodology for Efficient Wide Range Tunable MEMS Filters
Published on: February 4, 2018
相关概念视频
Mesh Analysis for AC Circuits
In the domain of radio communication, the significance of impedance matching must be considered. It is crucial to ensure the efficient transmission of signals between radio transmitters and receivers. Achieving this balance involves using impedance-matching circuits, with one fundamental configuration comprising a resistor, capacitor, and inductor.
The process of harmonizing these impedances begins with a clear understanding of the input and output signals. Once these signals are known, the...
The process of harmonizing these impedances begins with a clear understanding of the input and output signals. Once these signals are known, the...
Design Example
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...
Reconstruction of Signal using Interpolation
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 sampling...
Aliasing
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 signal...
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original signal...
Downsampling
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.
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
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...
