LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Enhanced Efficiency BPSK Demodulator Based on One-Dimensional Convolutional Neural Network

Photo from wikipedia

In this paper, a novel binary phase shift keying demodulator based on 1-D convolutional neural network (1-D CNN) is proposed. The utilization of neural networks to detect the locations of… Click to show full abstract

In this paper, a novel binary phase shift keying demodulator based on 1-D convolutional neural network (1-D CNN) is proposed. The utilization of neural networks to detect the locations of phase shifts in the modulated data distinguishes the proposed scheme from other neural network demodulators, which decide the symbols corresponding to the sampled data in a symbol period. Meanwhile, coordinating with the symbol synchronization algorithm, the proposed structure is able to deal with the carrier frequency offsets and sampling frequency errors. Compared to the conventional demodulators, the proposed 1-D CNN demodulator presents better bit error rates performance.

Keywords: demodulator; convolutional neural; demodulator based; neural network; enhanced efficiency

Journal Title: IEEE Access
Year Published: 2018

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.