• Infrared and Laser Engineering
  • Vol. 48, Issue 8, 813002 (2019)
Chu Lixiang* and Fan Qiaoyun
Author Affiliations
  • [in Chinese]
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    DOI: 10.3788/irla201948.0813002 Cite this Article
    Chu Lixiang, Fan Qiaoyun. Multi-photodiode layout optimization based on quantum genetic algorithm[J]. Infrared and Laser Engineering, 2019, 48(8): 813002 Copy Citation Text show less

    Abstract

    As a small and low-cost photosensor, the photodiode can be used as low-precision sun sensor alternatively for at least three photodiodes combined, to measure the full sun vector. To obtain the sun vector anywhere providing the continus 360° filed-of-view, it was difficult to choose the number and design the layout of the multiple photodiodes. This paper discretized the 360° field of view as equal surface areas firstly, and transformed the infinite sensor layout optimization problem into a finite combinatorial optimization(nondeterministic polynomial time). Then, the combinatorial optimization problem was solved by establishing the multi-objective optimization function considering the coverage and uniformity and combining the quantum genetic algorithm. The experiment gave the layout effect for the various number and the different field of view of photodiodes, and provided theoretical basis for the optimization of the layout of multiple photodiodes. The experimental results show that the 12-14 photodiodes selected can achieve layout with no coverage and uniform risk nearly.
    Chu Lixiang, Fan Qiaoyun. Multi-photodiode layout optimization based on quantum genetic algorithm[J]. Infrared and Laser Engineering, 2019, 48(8): 813002
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