  Micro pattern gaseous detectors have been widely used in position
measurements of particle detection in the last two decades. In this work a
novel method of track identification and reconstruction was developed for fast
neutron detection by MPGD, which in most cases requires a strong rejection of
the gamma background. Based on this method, an online tracking system can be
built in a FPGA-based Daq system to significantly improve both the capability
of counting rate and the spatial resolution. This work also offers a potential
usage in future hadron experiments such as SoLID spectrometer in Jeffereson
Lab.
