Related Experiment Video
Updated: Jan 11, 2026

Generation and Coherent Control of Pulsed Quantum Frequency Combs
Published on: June 8, 2018
Noise robust geometric constellation design for 32QAM discrete spectrum nonlinear frequency division multiplexing
None:
Nonlinear frequency division multiplexing (NFDM) systems utilize the nonlinear Fourier transform to address Kerr nonlinearity in optical fiber communications. However, they are highly sensitive to signal impairments such as amplified spontaneous emission (ASE) noise and phase noise, which pose significant challenges for practical implementation in real-world systems. To address the key issue of NFDM systems, this paper first analyzes the modeling characteristics of ASE noise in the discrete spectrum NFDM system. Based on this analysis, it designs an olive-shaped 32-ary quadrature amplitude modulation (32QAM) geometric constellation to improve noise robustness. The simulation results show that the proposed Olive-32QAM constellation increases the transmission distance by 133 km compared to traditional 32-ary amplitude phase shift keying (32APSK) and by 157 km compared to traditional 32QAM. Meanwhile, its phase noise tolerance is increased to over 1.9 kHz, demonstrating a stronger ability to withstand phase noise. Furthermore, leveraging the geometric characteristics of the Olive-32QAM constellation, this paper optimizes the carrier phase recovery (CPR) algorithm using principal component analysis and maximum likelihood, reducing its computational complexity. Compared with the blind phase search (BPS) CPR algorithm, the proposed CPR algorithm achieves an optical signal-to-noise ratio gain of up to 3.2 dB while maintaining a computational complexity of only about 1.2% of that of the BPS algorithm.
Related Concept Videos
Design Example
Design Example: Capacitance Multiplier Circuit
The circuit illustrated in Figure 1 below incorporates two op-amps, with the first operating as a voltage follower and the second acting as an inverting amplifier.
Aliasing
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original...
Upsampling
Construction of Frequency Distribution
First, make a table with two columns—one with the title of the data that needs to be organized, and the other column for frequency. [Draw a third column for tally marks if needed]. Then, take a look at the items given in the data set and decide if an ungrouped frequency distribution table or a grouped frequency distribution table would be more suitable. If there are large sets of different values, then it is...
Discrete-time Fourier transform
One of the notable...

