Application of wavelet threshold de-noising in GPS pseudo-distance single point positioning
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摘要: 单点定位中多路径效应和接收机噪声等偶然误差对定位的精度影响较大,并且很难选取固定的模型对其减弱,针对上述问题,从全球定位系统(GPS)的信号结构、误差来源出发,剖析了小波分析的原理,采用离散正交小波db3对GPS伪距观测值C1进行了降噪处理.实验表明:使用上述方法对观测值进行处理后,在观测值质量较差的时段,定位精度可提高31.93%,在观测值质量较好的时段,定位精度可提高16.02%.Abstract: In single point positioning,the accidental errors such as multipath effect and receiver noise have a great influence on the accuracy of positioning, and it is difficult to select a fixed model to weaken it. In view of the above problems, analyzes the principle of wavelet analysis from the signal structure and error source of GPS, and uses the discrete orthogonal wavelet db3 to denoise the GPS observation C1.The experiment shows after the observed values are processed using the method described above, the accuracy of positioning can be improved by 31.93% in the period when the quality of the observed value is bad, and the positioning accuracy can be increased by 16.02% in the period when the quality of the observed value is good.
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Key words:
- GPS /
- observation noise /
- db3 /
- wavelet analysis /
- pseudo-range single point positioning
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