Demodulation algorithm for temperature and pressure sensing in side-hole fiber Bragg gratings using CNN-LSTM network
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Fiber Bragg Grating
Fiber Bragg Grating
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To improve the demodulation precision of fiber Bragg grating(FBG)sensor array,a real-time calibrating demodulation system which is based on narrow band light source inquiring demodulation method and using impervious to temperature regulator with marker,is presented.The signal is gathered into computer by 12 bit A/D and processed by LabVIEW.The peak detection method is searching peak in subsections.Experiments show that the Bragg wavelength demodulation precision of FBG sensor reaches 1pm and is ten multiple higher than precision of system without real-time calibrating module.Then strain measured experiment shows the error is lower than 1.5×10-6 in 1×10-4 range.
Fiber Bragg Grating
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Accuracy and precision
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A high-performance and low-complexity demodulation system is essential for the demodulation of FBG sensors. In this paper, a demodulation system for FBG micro-strain sensors based on back propagation neural network (BPNN) algorithm is proposed. The complex nonlinear relationship between the transmitted light intensity and the center wavelength of FBG sensor is established by using BPNN, and the absolute interrogation of the center wavelength of FBG sensor is realized. The demodulation performance is more advantageous compared with traditional machine learning algorithms, with an accuracy of ±9.3 pm. Through experiments, the effectiveness and superiority of the demodulation system are proved. It achieves the purpose of low cost, high performance and wide range of demodulation, and provides reliable analysis support for engineering applications.
Backpropagation
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Fiber Bragg Grating Demodulation System is the key to put Bragg Grating sensor into practice. The fiber grating sensor the-ory and the demodulation technology is systematically researched in this paper. The main content includes: the principle of fiber grat-ing sensor;the analysis of several technologies of demodulation and the F-P filter demodulation is introduced in detail;the design of demodulation system based on MCS system.Fiber Bragg Grating calibrating method base on MCS can improve precision of Demodula-tion System equal to ±5pm,maximum error ±8pm.
Fiber Bragg Grating
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The paper introduces the basic modulation and demodulation principle of BPSK and BDPSK. Based on the Matlab, we study on the two kinds of modulation demodulations under the different noises. We mainly research the SNR and BER of BPSK coherent demodulation, BDPSK coherent demodulation and BDPSK incoherent demodulation. The simulation indicates the BER of BDPSK coherent demodulation is higher than BPSK coherent demodulation. If we adopt the same demodulation, the BER of coherent demodulation is lower than the incoherent demodulation under the same SNR.
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Abstract Traditional phase generation carrier (PGC) demodulation algorithm is often affected by modulation depth C and carrier phase delay θ. An improved PGC demodulation method was put forward in this article. The results show that when in different modulation depth, the demodulation result was stable and almost identical to the original signal to be test. With different phase delay values, such as θ=30°and 60°, the signal amplitude demodulated by the improved algorithm was consistent with the original signal. The new demodulation method can make the accuracy of the phase generation carrier technology better and improve the system performance.
Carrier recovery
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Modulation (music)
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Demodulation technology is the most critical signal processing functionality in the communication system. Using efficient digital demodulation can improve the transmission performance of communication system. This paper introduces the principle of Continuous Phase Frequency Shift Keying (CPFSK) and its demodulation. And then designs the CPFSK demodulator by using the orthogonal differential demodulation algorithm based on software defined radio. Later, the paper deals with the structure of the demodulator. Finally, the demodulator is realized on the XC6SLX25 provided by Xilinx. The result confirms the feasibility of the all-digital CPFSK demodulator.
Frequency-shift keying
Continuous phase modulation
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Fiber Bragg grating (FBG) sensors are restricted to relatively slow speed applications due to current wavelength demodulation techniques. In this paper, we propose and model a demodulation technique using long period fiber grating (LPG) filters to address this problem.
Fiber Bragg Grating
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Long-period fiber grating
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16APSK and 32APSK, which are adopted by DVB-S2, can improve spectral efficiency. In order to reduce BER, the receiver will use demodulation method with good performance and low computation complexity. Based on the existing several demodulation methods, this paper presents a new demodulation method with practical value, and compares BER performance with several other existing demodulation methods through simulations. The simulation results verify the validity of the proposed methods of demodulation.
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Demodulation techniques are extremely important to ensure successful reception. Improving demodulation performance also improves the efficiency of a communication system as a whole. Traditional demodulators, with their high cost of implementation and tedious development, require dedicated hardware platforms. A single architecture for automatically demodulated end-to-end signals is suggested in this work. It is a demodulation based on machine learning (ML) for visible light communication (VLC), this suggested receiver which is based on learning can perform demodulation without any change in the receiver hardware by loading data on the network. The modulated signals are demodulated using a CNN-based demodulator, which turns them into images and then recognizes them. and there is still The RNN architecture which is powerful in terms of time series modeling. This type of receiver can intelligently and flexibly process several types of modulated digital signals. The outcomes reveal that the demodulation performances of data-driven demodulators are almost the same as those of conventional receivers. A combination of the strengths of the two architectures offers a more accurate demodulator, which is proposed in this work. a hybrid CNN and RNN architecture has shown its success in terms of its performance.
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