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首页> 外文会议>2011 International Conference on Mechatronic Science, Electric Engineering and Computer >Adaptive detection and modification algorithm of GPS cycle slips based on wavelet analysis
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Adaptive detection and modification algorithm of GPS cycle slips based on wavelet analysis

机译：基于小波分析的GPS周期滑动自适应检测与修正算法

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Based on the analysis of the causes and characteristics of GPS cycle slip, an adaptive detection and modification algorithm is proposed using the wavelet threshold de-noising theory. The original double difference of GPS carrier-phase is transformed with wavelet, and the singular values in the high-frequency coefficients are replaced by linear interpolation. Then the signal is reconstructed with the replaced high-frequency coefficients and the original low-frequency parts. The difference between the reconstructed signal and the original one is applied for cycle slip detection. The time and correction value of cycle slip are determined by the modulus maxima of the difference signal. Finally, an experiment was taken to test the method, and it shows that the method is effective for detecting and modifying the cycle slips of minimum value of one cycle, with minimum interval of one epoch.
机译：在分析GPS循环滑移的原因和特点的基础上，提出了一种基于小波阈值去噪理论的自适应检测与修正算法。用小波变换原始的GPS载波相位双差，并用线性插值法代替高频系数中的奇异值。然后，用替换后的高频系数和原始的低频部分重建信号。重构信号与原始信号之间的差异将用于循环滑移检测。循环滑差的时间和校正值由差信号的模数最大值确定。最后，通过实验对该方法进行了测试，结果表明，该方法对于检测和修改一个周期的最小值，最小间隔为一个周期的周期滑动是有效的。

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