嵌入式船舶重力匹配导航系统可靠性检测方法

Reliability detection method of embedded ship gravity matching navigation system

由于传统的船舶重力匹配导航系统采用非智能搜索策略,因此在嵌入式架构下出现抗干扰性差、可靠性下降的问题。针对此问题,提出嵌入式船舶重力匹配导航系统可靠性检测方法。首先引入蜂群算法,对传统重力匹配策略进行修正;然后通过引入侵入式阈值算法,对修正后的策略进行权重模型优化计算;最后,通过引入OGL算法,完成对模型异常重力值的检测计算,实现重力匹配导航系统可靠性的检测;最后设计一组仿真实验,通过实验证明提出方法的可行性与有效性。

Because the traditional ship gravity matching navigation system adopts the non-intelligent search strategy,the problem of poor anti-jamming and low reliability appears under the embedded architecture.Aiming at this problem,a reliability detection method of embedded ship gravity matching navigation system is proposed.Firstly,bee colony algorithm is introduced to modify the traditional gravity matching strategy;secondly,intrusive threshold algorithm is introduced to optimize the weight model of the revised strategy;finally,OGL algorithm is introduced to complete the detection and calculation of the abnormal gravity value of the model,so as to realize the reliability detection of gravity matching navigation system.At the end of the paper,a set of simulation experiments are designed to prove the feasibility and validity of the proposed method.