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机构地区:[1]南京理工大学理学院,江苏南京210094 [2]江苏煤田地质物探测量队,江苏南京210046 [3]东南大学交通学院,江苏南京210096
出 处:《南京理工大学学报》2005年第1期105-108,122,共5页Journal of Nanjing University of Science and Technology
摘 要:该文根据小波变换对信号奇异性检测的原理对GPS相位观测值进行周跳的探测,将GPS相位观测值发生周跳处视作信号的奇异点,其小波变换后的系数具有模量极大值,通过对模量极大值点的检测确定周跳的位置,实验数据证明基于小波变换的周跳探测自动化程度较高,定位准确,由于形成双差过程中消除了一些相关误差的影响,其双差观测值的探测比单差观测值效果明显,而且周跳越大效果越好。According to the principle of signal oddity detection, the wavelet transform is used to detect the cycle-slip of the GPS carrier phase observable. The location of the cycle-slip is regarded as the bizarre point of the signal. The coefficient of the wavelet transform has a maximal modulus value. The place of the cycle-slip is ascertained by detecting the point of maximal modulus value. The experimental data validate that the degree of the automatization is high and the place is exact with the wavelet transform detecting the cycle-slip. The detection of the double difference observable is more obvious than that of the signle difference observable bacause the double difference observable eliminates the infection of the relevant errors, and the effect is better if the cycle-slip is bigger.
分 类 号:P22[天文地球—大地测量学与测量工程]
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