Paper
26 November 2001 Method for Reticon signal processing in the lower latitude meridian circle (LLMC)
Binhua Li, Lei Yang, Wei Mao, Qiongxian Tie, Xiaobin Wang, Zhousheng Zhang
Author Affiliations +
Abstract
The functions and characteristics of the 1st to 9th Reticon signals used to measure positions of reticle/slit images in the LLMC are described in this paper. According to their characteristics, we present a new method to process these Reticon signals, which consists of a filtering algorithm and a centering algorithm. The filtering algorithm is developed to process the 5th to 9th Reticon signals, because in these signals there are obvious disturbance components caused by the background light in the microscopes. An auto-estimating technique is developed to estimate and eliminate the disturbance signal of the background light by a piecewise-linear fitting. The centering algorithm is used to determine the positions of all the reticle/slit images in 3 steps. The first is to search all the wave crests and troughs of a Reticon signal, the next is to determine a threshold for each wave and then to center the wave by a modified moment method so as to get the position of the reticle/slit image, and the last step is to average all the position data of the waves in a Reticon signal to get an integrate position data of a group of reticles/slits in the corresponding reading microscope. The technique of implementation of the method in C++ programming language is also described in the paper.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Binhua Li, Lei Yang, Wei Mao, Qiongxian Tie, Xiaobin Wang, and Zhousheng Zhang "Method for Reticon signal processing in the lower latitude meridian circle (LLMC)", Proc. SPIE 4473, Signal and Data Processing of Small Targets 2001, (26 November 2001); https://doi.org/10.1117/12.492802
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Cited by 2 scholarly publications.
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KEYWORDS
Signal processing

Collimators

Microscopes

Electronic filtering

Filtering (signal processing)

Telescopes

Signal to noise ratio

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