Periodic detection method and system for GNSS observation station coordinate time sequence

Abstract

The invention provides a periodic detection method and system for a GNSS observation station coordinate time sequence. The method comprises the steps of acquiring a GPS observation station coordinatetime sequence observed value, removing gross errors and correcting an antenna phase center deviation; performing preliminary spectrum analysis on the GPS observation station coordinate time sequence by using a periodogram method; acquiring a plurality of major cycle frequencies of a corresponding observation station, and sorting according to the amplitudes of main frequencies; describing the GPS observation station coordinate time sequence by using a harmonic function, acquiring a harmonic function model of the GPS observation station coordinate time sequence, and building a harmonic functionmodel matrix; using the main frequencies as prior constraints, and acquiring the standby frequencies of a plurality of periodic signals; resolving the harmonic function model based on a least squarescriterion, acquiring optimal frequencies and verifying the standby frequencies by using a hypothesis testing method, and building the harmonic function model including the plurality of optimal frequencies; and according to the standby frequency after hypothesis testing is performed, resolving the harmonic function model matrix based on the least squares criterion, and acquiring a detection resultof any GNSS observation station periodic signal.

Description

technical field [0001] The invention belongs to the technical field of precise processing of GNSS data, and in particular relates to a periodic detection method and system of GNSS station coordinate time series. Background technique [0002] The time series of GNSS station coordinates reflects the regular characteristics of station positions changing with time. Existing GNSS station coordinate time series prediction and estimation models usually contain long-term trend items and seasonal signals. At present, the most widely used method is to simply use periodic signals as annual signals, semi-annual signals and their combinations as constant parameters (Blewitt and Lavallée, 2002), and generally adopt sinusoidal modeling of annual cycles and their harmonics and constant amplitudes (Nicolaidis, 2002). [0003] The seasonal signal present in the GNSS station coordinate time series is the response to environmental changes. However, the comprehensive influence of data process...

AI Technical Summary

Problems solved by technology

[0004] At present, there are deficiencies in the periodic detection method of GNSS station coordinate time series: the periodic signal is simply described as an annual signal, a semi-annual signal and their combination, which will have a significant impact on the rate estimation and its uncertainty

However, there are two major problems with the LSHE method: (1) Theoretically speaking, without any prior constraints, there are infinitely many combinations of periodic signals and their harmonic signals, which will cause uncertainty in the estimation results. The reliability is not strong; (2) Any combination of harmonic signals, when the frequency of the periodic signal is similar, is prone to singular situations, which may cause errors in the judgment of periodic signals with similar frequencies, and eventually lead to errors in the modeling of periodic signals

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