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Neural network equalization based on delta-sigma modulation
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DOI：10.3788/COL202422.040601.png)
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Abstract
En 中文
We propose a neural network equalization delta-sigma modulation (DSM) technique. After performing DSM on the multi order quadrature amplitude modulation (QAM) orthogonal frequency division multiplexing (OFDM) signal at the transmitting end, neural network equalizer technology is used in the digital signal processing at receiving end. Applying this technology to a 4.6 km W-band millimeter wave system, it is possible to achieve a 1 Gbaud 8192-QAM OFDM signal transmission. The data rate reached 23.4 Gbit/s with the bit error rate at 3.8 x 10-2, -2 , lower than soft-decision forward-error correction threshold (4 x 10-2). -2 ).
Keywords:
multi-order quadrature amplitude modulation
W -band
delta-sigma modulation
neural network equalization