A continuous time-domain adaptive power model of transmitter optical and control algorithm based on atmospheric turbulence channel
reciprocity are explored for mitigating the free-space optical communication (FSOC) receiver optical intensity scintillation and bit error
rate (BER) deterioration. First, a transmitter optical adaptive power control (OAPC) system architecture using four wavelength optical
signals based on atmospheric turbulence channel reciprocity is proposed, and electronically variable optical attenuator (EVOA) and
erbium-doped fiber amplifier (EDFA) are employed as the main OAPC units for power adaptation. Moreover, a reciprocity evaluation model for
gamma-gamma (G-G) continuous-time signals is generated using the autoregressive moving average (ARMA) stochastic process, which takes into
account the delay time and system noise, and a reciprocity-based OPAC algorithm is proposed. Numerical simulations were also performed to
analyze the signal reciprocity characteristics under different turbulence, noise, and sampling time mismatch at both ends, as well as the
scintillation index (SI) performance under OAPC system operation. Simultaneously, the time-domain signals of continuous quadrature amplitude
modulation -16 (QAM-16) and QAM-32 real states are fused with the gamma-gamma (G-G) reciprocal turbulence continuous signals to analyze the
probability density function (PDF) and bit error ratio (BER) performance after OAPC correction. Finally, a 64 Gpbs QAM-16 OPAC communication
experiment was successfully executed based on an atmospheric turbulence simulator. It is shown that the OAPC correction is carried out using
reciprocity at millisecond sampling delay, the light intensity scintillation of the communication signal can be well suppressed, the
signal-to-noise ratio (SNR) is greatly improved, the suppression is more obvious under strong turbulence, the overall BER reduction is
greater than 2.8 orders of magnitude with the OAPC system, and this trend becomes more pronounced as the received power increases, even
reach 6 orders of magnitude in some places. This work provides real time-domain continuous signal samples for real signal generation of
communication signals in real turbulence environments, adaptive coding modulation using reciprocity, channel estimation, and optical
wavefront adaptive suppression, which are the basis of advanced adaptive signal processing algorithms.