海军航空工程学院学报Issue(2)：167-171,188,6.
基于鱼群优化粒子滤波的捷联惯导系统初始对准方法
Research on SINS Initial Alignment Method Based on Fish Swarm Optimization Particle Filter
王东1
作者信息
- 1. 海军航空工程学院七系，山东烟台264001
- 折叠
摘要
Abstract
Since the high dimension model of the conventional stationary base initial alignment for strapdown in⁃ertial navigation system (SINS) cannot ensure the real-time performance of filter algorithm, a two-position ini⁃tial alignment method using fish swarm optimization particle filter (FSOPF) is put forward. Firstly, a two-posi⁃tion initial alignment model is constructed. Because the new model removes the stochastic constant errors of iner⁃tial instruments, the dimension of the proposed model will be greatly decreased while its alignment precision can still be guaranteed. Secondly, by using fish swarm optimization, particles of particle filter algorithm are moved to the regions where they have larger values of posterior density function. Accordingly, the convergence speed and estimation accuracy of FSOPF are remarkably improved. Simulation results show that the speed of ini⁃tial alignment can be effectively improved and the real-time performance of filter algorithm can also be satisfied by using the proposed method.关键词
捷联惯导系统/初始对准/粒子滤波/鱼群算法/静基座Key words
strapdown inertial navigation system/initial alignment/particle filter/fish swarm algorithm/stationary base分类
航空航天引用本文复制引用
王东..基于鱼群优化粒子滤波的捷联惯导系统初始对准方法[J].海军航空工程学院学报,2013,(2):167-171,188,6.
