MATLAB Simulink Simulation Platform for Photonic Transmission Systems

Bình, Lê Nguyên

doi:10.4236/ijcns.2009.22012

Cited by 9 publications

(6 citation statements)

References 15 publications

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“…Non-Gaussian noise distributions can be modeled as a mixture of additive zero-mean Gaussians distributions [31]. In [32], L. Binh used SIMULINK to simulate non-Gaussian noise as a mix of Gaussian distributions. Figure 9 shows that UKF continues to outperform the EKF in the presence of non-Gaussian noise, which was created by adding three zero mean Gaussian noise distributions using SIMULINK built-in blocks.…”

Section: Resultsmentioning

confidence: 99%

Interactive Kalman Filtering for Differential and Gaussian Frequency Shift Keying Modulation with Application in Bluetooth

Ali¹,

Zohdy²

2012

JSIP

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Some applications are constrained only to implement low cost receivers. In this case, designers are required to use less complex and non-expensive modulation techniques. Differential Quadrature Phase Shift Keying (DQPSK) and Gaussian Frequency Shift Keying (GFSK) can be non-coherently demodulated with simple algorithms. However, these types of demodulation are not robust and suffer from poor performance. This paper proposes a new method to enhance the performance of DQPSK and GFSK using Interactive Kalman Filtering (IKF) technique, in which a one Unscented Kalman Filter (UKF) and two Kalman Filters (KF) are coupled to optimize the demodulated signals. This method consists of simple but very effective algorithms without adding complexity to the demodulators comparing to other very complex methods. UKF is used in this method due to its superiority in approximating and estimating nonlinear systems and its ability to handle non-Gaussian noise environments. The proposed method has been validated by creating a MATLAB/SIMULINK Bluetooth system model, in which the IKF is integrated into the receiver, which implement both DQPSK and GFSK, and run simulation in Gaussian and Non-Gaussian noise environments. Results have shown the effectiveness of this method in optimizing the received signals, and that the UKF outperforms the Extended Kalman Filter (EKF)

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Section: Resultsmentioning

confidence: 99%

Interactive Kalman Filtering for Differential and Gaussian Frequency Shift Keying Modulation with Application in Bluetooth

Ali¹,

Zohdy²

2012

JSIP

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“…The low pass equivalent frequency response of the optical fiber, noted as H(f) has a parabolic phase profile and can be modeled by the following equation [3] ,…”

Section: B Fiber Propagation In Linear Domainmentioning

confidence: 99%

Modeling of a Polarity Multiplexed QPSK Optical Coherent Transmission system with Linear Impairments, Filtering and Performance Measurement

Kandapahala¹

2022

Preprint

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<p>As the bit rate of the optical transmission system gets higher and higher, 40 Gb/s to 100 Gb/s, the modeling of proposed modulation techniques is very important so as to avoid costly practical demonstration. A Polarity Multiplexed-QPSK transmission system is modelled in MATLAB and simulated with Additive White Gaussian Noise (AWGN) added through the channel with Chromatic Dispersion (CD). Output is filtered and performance is measured and presented in this article.</p>

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“…Junichiro Ichikawa has reported about the setup for 640 Gb/s optical transmission, clock recovery and demultiplexer using LiNbO 3 based optical devices to design such high data rate optical transmission system [9]. Being a universally mathematical modeling tool, a Simulink based Optical Transmission System was demonstrated using ASK and FSK for 40 Gb/s data rate [10]. Binh et al also has published detailed report on Raman Optically amplified MSK multispan transmission system using Matlab Simulink [11].…”

Section: Introductionmentioning

confidence: 98%

“…MSK signal exhibits constant amplitude and continuous phase at every bit transition time and lower side lobes. These features make MSK a preferable data modulation format for high speed and high spectral efficiency system [10]. As a result, MSK can be considered as a potential modulation format for longhaul communications incorporating EDFA amplification.…”

Section: Introductionmentioning

confidence: 99%