The stability of the infrared focal plane array (FPA) is the key to long-term quantitative testing. Due to the influence of external factors, such as thermal shock, vibration, temperature drift, etc., the response of the infrared array detector will change to a certain extent. The drift of the response will cause the generation of new blind pixel and the change of response non-uniformity, which will seriously affect the image quality, and the traditional long-term stability measurement method is inefficient. In response to the above problems, we propose a novel protocol and method to automatically characterize the temporal stability of infrared detector, which can automatically generate performance parameters such as infrared detector response rate and non-uniformity to evaluate the stability. The research provides valuable experience for the longterm analysis of HgCdTe infrared focal plane array.
In the digital signal processing, in order to realize the automatic updating of the filter weight coefficient, this paper adopts an adaptive filter based on Cyclone IV EP4CE6 series FPGA to realize LMS algorithm to solve this problem. This paper analyzes the basic principle of the minimum mean square error (LMS) adaptive algorithm and the peripheral hardware circuit. The high parallelism and high computing performance of the FPGA ensure the convergence and stability of the algorithm in this scheme. The simulation results of MATLAB and Modelsim and the measured waveforms of the oscilloscope show that the design can be applied to the actual digital signal system smoothly.
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