Calibration of a polarization navigation sensor using the NSGA-II algorithm

被引：19
|
作者：
Ma, Tao [1 ]
Hu, Xiaoping [1 ]
Zhang, Lilian [1 ]
He, Xiaofeng [1 ]
机构：
[1] Natl Univ Def Technol, Coll Mechatron Engn & Automat, Changsha 410073, Hunan, Peoples R China
来源：
OPTICS COMMUNICATIONS | 2016年 / 376卷
基金：
中国国家自然科学基金;
关键词：
Angle of polarization; Degree of linear polarization; Polarization navigation sensor; Ill-posed; COMPASS; STRATEGIES; INTERNEURONS; ORIENTATION; SONGBIRDS; ANGLE; CUES;
D O I：
10.1016/j.optcom.2016.05.015
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
A bio-inspired polarization navigation sensor is designed based on the polarization sensitivity mechanisms of insects. A new calibration model by formulating the calibration problem as a multi-objective optimization problem is presented. Unlike existing calibration models, the proposed model makes the calibration problem well-posed. The calibration parameters are optimized through Non-dominated Sorting Genetic Algorithm-II (NSGA-II) approach to minimize both angle of polarization (AOP) residuals and degree of linear polarization (DOLP) dispersions. The results of simulation and experiments show that the proposed algorithm is more stable than the compared methods for the calibration applications of polarization navigation sensors. (c) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码：107 / 114
页数：8
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