哈尔滨工程大学学报Issue(3)：404-408,5.DOI:10.3969/j.issn.1006-7043.201311072
基于天空偏振模式图的抗噪声方位角算法
The anti-noise algorithm of azimuth based on sky-lighted polarization pattern
摘要
Abstract
Considering the relative azimuth error of the moving object, a Kalman filter algorithm based on moving block execution and a specialized genetic algorithm with variable initial group of domain were proposed. It is to re⁃strain the influence brought by the colored noise of signal source system and the white noise of measurement system error. The expected value of the relative azimuth was calculated firstly by using Kalman filter algorithm based on moving block execution, and then the optimal estimation of the relative azimuth was got by running the genetic algo⁃rithm. The accuracy of the results and the smoothness of the execution show that the algorithm cooperating with the polarization instrument can provide a reliable realization means for the rapidly growing autonomous positioning tech⁃nology.关键词
相对方位角/卡尔曼滤波算法/遗传基因算法/最优估值/偏振光传感器/自主定位Key words
relative azimuth/Kalman filter algorithm/genetic algorithm/optimal estimation/polarization instru-ment/autonomous positioning分类
信息技术与安全科学引用本文复制引用
关桂霞,韩愈章,吴敏华,韩建国..基于天空偏振模式图的抗噪声方位角算法[J].哈尔滨工程大学学报,2015,(3):404-408,5.基金项目
国家自然科学基金资助项目（61174220）；北京市教委基金资助项目（ KM201210028002）． （）
