📝 Abstract

In this study a universal demodulator for BPSK, BFSK, ASK signals is presented. This demodulator is based on neural network techniques and can be developed for any kind of modulation scheme. Regardless of modulation type that the transmitter uses, this demodulator can detect the transmitted signal bits by passing the signal samples through a probabilistic neural network. Each modulation scheme that is best similar and matched to the incoming signal samples will be determined as a detected pattern and its corresponding bit partner is detected as a bit received. The demodulator hardware architecture has its own techniques to implement via VHDL code for speed and chip area optimization.

🏷️ Keywords

FPGANEURAL NETWORKDEMODULATORGenetic Algorithm
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Citation

Marco Rossi, Lars Johansson, Erik Nielsen, Yuki Tanaka. (2022). Implementing A Reconfigurable Neural Based Demodulator On An FPGA With Genetic Algorithm Optimization. Cithara Journal, 62(12). ISSN: 0009-7527