2results about How to "Improve bit error performance" patented technology

The application discloses a kind of target-oriented photovoltaic receiver light communication and energy integration system limited dynamic range constraint emission waveform design method, first generate MLS sequence, simultaneously to the original signal of input PAM modulation obtains PAM sequence, PAM sequence is as slow envelope to MLS sequence mean envelope modulation, and the alternating current signal after envelope modulation is obtained, direct current bias B is superimposed in the alternating current signal to constitute the final emission waveform.The application B determines reference light intensity and effective AC budget.In available budget, communication level interval and perception MLS amplitude are determined by amplitude allocation factor ρ together.Under fixed AC budget, ρ determines the trade-off between communication and perception, and B determines the upper limit of feasible dynamic range.The application makes full use of limited amplitude resources, realizes low-bandwidth photovoltaic receiver-oriented efficient information extraction, accurate echo perception and stable energy transmission, and realizes flexible coordination of communication and energy functions.

The application discloses a neural network equalization method and device, equipment, storage medium and program product, and relates to the technical field of optical communication. The method comprises the following steps: acquiring a received signal sequence on a high-speed optical interconnection link; inputting the received signal sequence into a neural network equalizer for equalization processing to obtain an equalized output signal sequence; wherein the neural network equalizer comprises at least one backbone network composed of a one-dimensional convolution network and at least one learnable nonlinear activation layer; the nonlinear activation layer and the one-dimensional convolution network are alternately cascaded; the nonlinear activation layer is composed of a plurality of base functions through linear combination of learnable weight coefficients and is used for approximating nonlinear response on the high-speed optical interconnection link. The neural network equalization method can significantly improve the compensation capability for nonlinear distortion such as bandwidth limitation, modulation soft saturation and mode coupling under the premise of maintaining full one-dimensional convolution streamable inference, so as to reduce the bit error rate.