The invention relates to the technical field of
data acquisition and
processing, and discloses a multi-level
time sequence optimization logic method for FPGA high-
frequency data acquisition and
processing, which can significantly break through the performance
bottleneck of a traditional static
hardware architecture in
processing non-stationary high-frequency signals, and can improve the performance of the FPGA high-
frequency data acquisition and processing by introducing a dynamic value
evaluation system based on
signal entropy. According to the method, accurate capture and
priority scheduling of key
mutation data are achieved, occupation of
invalid data on computing resources is thoroughly eliminated, and by means of
time sequence and resource coupled topology planning and an elastic
assembly line reconstruction technology, hardware logic has the self-
adaptive capacity of real-time deformation along with data features, and the real-time performance of the hardware logic is improved. Not only are
time sequence conflicts and metastable state risks effectively avoided under extreme working conditions, but also self-evolution and calibration of
system parameters are realized through a closed-loop feedback mechanism. And the utilization efficiency of logic resources and the robustness of multi-task
parallel processing are remarkably improved.