摘要
针对单一特征量匹配导航方法所带来的区域性不可靠问题,提出了一种自适应多维特征量匹配算法。在建立基于投影寻踪的多维地磁/地形匹配特征量选取模型的基础上,将模型转化为组织进化数值优化问题并进行求解,实现载体运行过程中分区域对匹配特征量进行自适应选取,从而避免了匹配导航的区域性不可靠问题。通过对算例进行验证,并进行实际数据仿真表明,采用自适应特征量匹配导航可以带来更小的全局导航误差,进而验证了该方法的有效性。
Aiming at the problem of instability of matching navigation algorithm based on single-characteristic-value, a characteristic-value matching algorithm with self-adaption is brought forward. After establishing the characteristicvalue-choosing model of multidimensional geomagnetic/terrain-matching, which is based on projection pursuit, the model is transformed into a numerical-value-optimizing issue and then solved. The method realizes adaptive selection of matching-characteristic-value and effectively avoids the region fallibility of matching navigation. Example verification and data simulation indicate that navigation with self-adaption characteristic-value-matching brings much smaller overall navigation error, which validates the effectiveness of this method.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2008年第12期2663-2667,共5页
Chinese Journal of Scientific Instrument
关键词
投影寻踪
地磁/地形匹配
自适应
组织进化算法
projection pursuit
geomagnetic/terrain matching
self-adaptive
organizational evolution algorithm
