Investigation of Costas Loop Synchronization Effect on BER Performance of Space Uplink Optical Communication System With BPSK Scheme

Li, Mi; Li, Bowen; Song, Yuejiang; Zhang, Xuping; Chang, Lingqian; Liu, Jia

doi:10.1109/jphot.2015.2447458

Cited by 11 publications

(1 citation statement)

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“…The traditional algorithms of BPSK demodulation can be divided into two categories: coherent demodulation [18,19] and noncoherent demodulation [20]. The coherent demodulation regenerates a local carrier, which has the same frequency and phase as the modulated carrier by carrier synchronization; then mixes the local carrier with the modulated signal; commits to down-conversion, low-pass filtering, and timing synchronization; and finally completes demodulation.…”

Section: Introductionmentioning

confidence: 99%

FPGA Implementation of a BPSK 1D-CNN Demodulator

Yan

Shen

et al. 2018

Applied Sciences

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In this paper, we propose a field programmable gate array (FPGA) implementation of a one-dimensional convolution neural network (1D-CNN) demodulator for binary phase shift keying (BPSK). The 1D-CNN demodulator includes two 1D-CNNs and a decision module. Discrete time series of BPSK signals are imported into the well-trained 1D-CNNs. The 1D-CNNs detect the phase shifts' moment and type, including phase shift from 0 to π and that from π to 0. The decision module combines results of the two 1D-CNNs and outputs the demodulated data. In order to improve the efficiency of resource utilization and operation speed of the FPGA circuit, a time-delay network for convolutional calculation and a structure for piecewise approximation for the activation function were designed. To enhance the performance of the 1D-CNN demodulator, universal and diversity training data considering five impact factors were generated specially. Experimental results under different channel conditions show that the proposed demodulator has good adaptability to frequency offset and short latency. The demodulation loss of the proposed demodulator can almost be kept within 2 dB.

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Section: Introductionmentioning

confidence: 99%