Fuzzy processing on GPS data to improve the position accuracy

Chung-Jie Lin, Yung-Yaw Chen, Fan-Ren Hang
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引用次数: 12

Abstract

A new application of fuzzy set theory to the problem of GPS positioning accuracy improvement is presented. We employed fuzzy processing on the C/A code stand-alone receiver and the DGPS receiver. The membership functions for the processing are determined by position dilution of precision (PDOP), signal-to-noise ratio (SNR) and the reliable factor of fixed position. We can select more accurate position fixes according to the values of the reliable factors. The accuracy of positioning has been improved by selecting position fixes from the original ones.
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对GPS数据进行模糊处理,提高定位精度
提出了模糊集理论在GPS定位精度提高问题中的新应用。对C/A码单机接收机和DGPS接收机进行模糊处理。处理的隶属函数由位置精度稀释系数(PDOP)、信噪比(SNR)和定位可靠系数确定。我们可以根据可靠因素的值选择更精确的位置固定。通过从原定位定位中选择定位定位,提高了定位精度。
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