Noise adaptive fading Kalman filter for free-space laser communication beacon tracking

• DOI: 10.1364/ao.55.008486
• Publication Date: 2016-10-14T17:12:50Z
• Authors: Lixing Li; Yongmei Huang; Qiang Wang; Fasheng Yang
• Keywords: Free-Space Optical Communication; Tracking (education)

We proposed a prediction algorithm for laser communication pointing, acquisition, and tracking (PAT) subsystems in order to further improve PAT accuracy reduce the effect of processing delay. In terms this algorithm, fading Kalman filter is employed, with observation noise obtained by gray value distribution images. Moreover, better fit dynamics target, two-stage dynamic model has been chosen as state transition filtering. addition, modified accommodating its form change time lag, thereby compensating A series horizontal path (17 km) experiments under different atmospheric conditions were conducted fields. According experimental results, we could effectively error pointing accuracy.