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- W3020227719 abstract "Universal digital demodulator (UDD) is capable of demodulating more than one type of digital modulated signal. The existing universal demodulators/modulators demodulate the signal based on the input given to the select lines of the demodulator by the user. There is no inherent ability to detect the demodulation scheme. In this paper, a neural network-based universal demodulator for detection as well as demodulation of the received signal is proposed. The use of neural network enables the automatic identification of the demodulation scheme and minimizes the hardware redundancy. This paper presents the implementation of the probabilistic neural network-based universal demodulator for the demodulation of binary phase shift keying (BPSK), frequency shift keying (FSK) and amplitude shift keying (ASK) modulated signals. The functionality of the algorithm is validated by implementing it in MATLAB software. The designed algorithm is ported to Raspberry Pi hardware and it is found that the receiver works up to a signal-to-noise ratio (SNR) of 15 dB. Time taken to process a pair of bits is found to be 0.162 μs. Overall power consumption including the RF section of the design is found to be 2.5 W." @default.
- W3020227719 created "2020-05-01" @default.
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- W3020227719 date "2020-01-01" @default.
- W3020227719 modified "2023-09-24" @default.
- W3020227719 title "Design and Implementation of Universal Digital Demodulator Using Neural Network Approaches" @default.
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- W3020227719 doi "https://doi.org/10.1007/978-981-15-3477-5_17" @default.
- W3020227719 hasPublicationYear "2020" @default.
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