西北工业大学学报
西北工業大學學報
서북공업대학학보
Journal of Northwestern Polytechnical University
2015年
5期
763-769
,共7页
阎海峰%魏文辉%冯志华%高社生
閻海峰%魏文輝%馮誌華%高社生
염해봉%위문휘%풍지화%고사생
伪卫星空中基站%自主组合导航%抗差自适应滤波%粒子滤波
偽衛星空中基站%自主組閤導航%抗差自適應濾波%粒子濾波
위위성공중기참%자주조합도항%항차자괄응려파%입자려파
acceleration%adaptive filtering%calculations%computer simulation%
covariance matrix%design%errors%estimation%information fusion%
mathematical models%navigation%probability density function%
velocity%autonomous navigation%particle filtering%pseudolite air
伪卫星作为卫星导航系统的重要增强手段,能够克服卫星系统在导航定位及武器精确制导方面存在的缺点. 针对伪卫星空中基站位置不易精确确定的问题,设计了临近空间伪卫星空中基站定位SINS/CNS/SAR组合导航系统,建立了组合导航非线性数学模型;在吸收抗差自适应滤波、高斯滤波和粒子滤波优点的基础上,提出了一种抗差自适应高斯混合Sigma点粒子滤波算法. 将提出的算法应用于SINS/CNS/SAR自主导航系统进行计算仿真,并与Unscented卡尔曼滤波和粒子滤波比较,结果表明:提出的新算法能够满足伪卫星空中基站自主导航定位的需求,导航精度明显高于Unscented卡尔曼滤波和粒子滤波算法.
偽衛星作為衛星導航繫統的重要增彊手段,能夠剋服衛星繫統在導航定位及武器精確製導方麵存在的缺點. 針對偽衛星空中基站位置不易精確確定的問題,設計瞭臨近空間偽衛星空中基站定位SINS/CNS/SAR組閤導航繫統,建立瞭組閤導航非線性數學模型;在吸收抗差自適應濾波、高斯濾波和粒子濾波優點的基礎上,提齣瞭一種抗差自適應高斯混閤Sigma點粒子濾波算法. 將提齣的算法應用于SINS/CNS/SAR自主導航繫統進行計算倣真,併與Unscented卡爾曼濾波和粒子濾波比較,結果錶明:提齣的新算法能夠滿足偽衛星空中基站自主導航定位的需求,導航精度明顯高于Unscented卡爾曼濾波和粒子濾波算法.
위위성작위위성도항계통적중요증강수단,능구극복위성계통재도항정위급무기정학제도방면존재적결점. 침대위위성공중기참위치불역정학학정적문제,설계료림근공간위위성공중기참정위SINS/CNS/SAR조합도항계통,건립료조합도항비선성수학모형;재흡수항차자괄응려파、고사려파화입자려파우점적기출상,제출료일충항차자괄응고사혼합Sigma점입자려파산법. 장제출적산법응용우SINS/CNS/SAR자주도항계통진행계산방진,병여Unscented잡이만려파화입자려파비교,결과표명:제출적신산법능구만족위위성공중기참자주도항정위적수구,도항정도명현고우Unscented잡이만려파화입자려파산법.
Pesudolite, as an important means to enhance the satellite navigation system, can overcome the disad?vantage of satellite navigation system in terms of positioning and precision?guided weapons. For pseudolites air based positioning that is not easy to accurately determine the location, we design a SINS/CNS/SAR integrated navigation system for the air based positioning of near space pseudolite, and the non?linear mathematical model of the system is established. On the basis of absorbing the merits of robust adaptive filtering, Gaussian filtering and particle filte?ring, a robust adaptive Gaussian mixture sigma point particle filter algorithm is proposed. Then, the proposed algo?rithm is applied to SINS/CNS/SAR autonomous navigation system for calculation and simulation and the results are compared with those of unscented Kalman filtering and particle filtering. The results and their analysis show prelimi?narily that the new algorithm can meet the needs of autonomous navigation positioning of the pseudolite air based and the navigation accuracy is significantly higher than those of the unscented Kalman filtering and particle filtering algorithms.