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无源北斗多模接收机自适应速度融合算法

SVFA for Passive Beidou Multimode Receiver
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摘要 在阐述北斗无源多模接收机工作原理的基础上,分析了无源北斗多模接收机速度与位置信息失调现象的产生原因,提出改善北斗无源接收机导航性能的自适应速度融合算法。该算法能根据载体的动态特性,自动生成合适的限制值修正多模接收机的导航信息,不仅提高了接收机的定位性能,而且提高了算法的动态适应性。无源北斗多模接收机挂飞试验的验证结果表明,自适应速度融合算法简便易行,能够在不影响多模接收机正常工作状态的情况下对异常信息进行修正,故大大提高了接收机的导航性能。 Based on the operating principle of passive Beidou multimode receiver, the cause of contradiction between output positions and velocities is explained. Then, the self-adaptive velocity fusion algorithm (SVFA) is presented to improve the navigation performance of Beidou receiver. SVFA can generate the proper limiting value to modify the receiver information by the dynamic characteristic of the carrier, and improve the position accuracy and the dynamic adaptability of the algorithm. The experimental result of the multimode receiver on the plane indicates that SVFA is easy to be realized, thus improving the performance of the multimode receiver by modifying the abnormal information without disturbing the normal information.
出处 《数据采集与处理》 CSCD 北大核心 2007年第1期100-104,共5页 Journal of Data Acquisition and Processing
基金 "十五"国防预研基金资助项目
关键词 卫星导航 自适应速度融合算法 北斗双星 抗干扰 satellite navigation self-adaptive velocity fusion algorithm (SVFA) Beidou double-stars anti-interference
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参考文献5

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