CN-122020155-A - Regional crowdsourcing ionosphere scintillation monitoring and early warning method and system based on low-cost equipment

CN122020155ACN 122020155 ACN122020155 ACN 122020155ACN-122020155-A

Abstract

The invention discloses a regional crowdsourcing ionosphere scintillation monitoring and early warning method and system based on low-cost equipment, which belong to the field of ionosphere scintillation monitoring and comprise the steps of recording observation data of a reference station and ISMR data as an accurate dataset, recording the observation data obtained by the low-cost equipment as a fuzzy dataset, carrying out scintillation intensity assignment on ROTI and GFTI by utilizing ISMR data in the accurate dataset, carrying out interpolation on scintillation indexes of positions of puncture point coordinates in the fuzzy dataset by adopting common Kriging interpolation, taking difference between interpolation results and indexes of corresponding positions in the fuzzy dataset, calculating abnormal difference values in the difference results, dividing the obtained ionosphere scintillation detection results according to scintillation occurrence ranges, and analyzing scintillation possible occurrence positions to carry out early warning. According to the invention, a large amount of low-cost equipment observation data in the area is introduced to fill the blank area of the monitoring data of the professional equipment, so that the density of the monitoring data and the resolution of the monitoring result are improved.

Inventors

Chu Ruitao
PENG WENJIE
YAO YIBIN
KONG JIAN
Xu Chaohan
ZHANG QI

Assignees

武汉大学
湖北珞珈实验室

Dates

Publication Date: 20260512
Application Date: 20251229

Claims (10)

1. The regional crowdsourcing ionosphere scintillation monitoring and early warning method based on low-cost equipment is characterized by comprising the following steps of: Based on the acquired reference station observation data and ISMR data, calculating to obtain the ROTI, GFTI and ISMR flicker indexes, and recording the ROTI, GFTI and ISMR flicker indexes together with the reference station observation data and ISMR data as an accurate data set; The ROTI and GFTI are calculated based on the observation data acquired by the low-cost equipment, and are recorded as a fuzzy data set together with the observation data acquired by the low-cost equipment; based on an accurate data set, a common Kriging interpolation method is adopted to interpolate the position of the coordinates of the satellite puncture points in the fuzzy data set; the interpolation result is differenced with a flicker index corresponding to the position of the puncture point coordinate in the fuzzy data set to obtain a difference value, and a threshold value of an abnormal difference value in the difference value is calculated; and dividing abnormal points corresponding to abnormal difference values generated by ionosphere scintillation according to scintillation occurrence ranges, analyzing subsequent scintillation occurrence positions according to scintillation drift speed and direction in a continuous time period, and carrying out early warning.
2. The method for regional crowd-sourced ionosphere scintillation monitoring and early warning based on low-cost equipment according to claim 1, wherein the interpolation of the positions of the puncture point coordinates in the fuzzy data set by adopting a common kriging interpolation method based on an accurate data set comprises the following steps: when the flicker index corresponding to the position of the puncture point coordinate in the fuzzy data set is the ROTI, interpolation is carried out by using the ROTI in the accurate data set; And when the corresponding flicker index of the position where the coordinate of the puncture point is positioned in the fuzzy data set is GFTI, interpolation is carried out by using GFTI in the accurate data set.
3. The method of regional crowd-sourced ionospheric scintillation monitoring and early warning based on low-cost equipment of claim 1, comprising, after calculating a threshold for outlier differences in differences: searching points in other fuzzy data sets closest to the abnormal points based on the abnormal points corresponding to each abnormal difference value; Analyzing the generation reason of the abnormal point by an inverse distance weighting method; the abnormal point is generated because ionized layer flicker occurs, and the data interpolation condition is corrected; And if the abnormal point is generated because the original data in the fuzzy data set is abnormal, removing the original data, and repeating the steps until no abnormal data exists.
4. The regional crowd-sourced ionosphere scintillation monitoring and early warning method based on low-cost equipment according to claim 1, wherein the method is characterized in that for abnormal points corresponding to abnormal difference values generated due to ionosphere scintillation, the abnormal points are divided according to scintillation occurrence ranges, and comprises the following steps: judging the ROTI and GFTI indexes aiming at each abnormal point; and connecting the boundaries of the areas where the flicker occurs in the judging result to finish the division of the flicker occurrence range.
5. The method for regional crowd-sourced ionosphere scintillation monitoring and early warning based on low-cost equipment according to claim 1, wherein analyzing subsequent scintillation occurrence positions and early warning according to scintillation drift speed and direction in a continuous time period comprises: Collecting the positions of the scintillation points of the ionized layer detected in a continuous time period, and calculating the moving directions and the moving speeds of different scintillation points according to satellites; predicting the position of a scintillation point in the next time period according to the calculation result, and broadcasting the coordinates of the position of the scintillation point; And calculating the distance between the coordinates of the puncture point of the satellite and the position of the flickering point, and carrying out early warning according to the calculation result.
6. The regional crowd-sourced ionosphere scintillation monitoring and early warning method based on low-cost equipment of claim 1, wherein the low-cost equipment comprises a smart phone and a low-cost vehicle-mounted GNSS module.
7. The low cost device based regional crowd-sourced ionosphere scintillation monitoring and early warning method of claim 1, further comprising: the scintillation intensity assignments were made for ROTI and GFTI using ISMR data in the exact dataset.
8. A low cost device based regional crowd-sourced ionosphere scintillation monitoring and early warning system comprising: the first main module is used for calculating ROTI, GFTI and ISMR flicker indexes based on the acquired reference station observation data and ISMR data, and recording the ROTI, GFTI and ISMR flicker indexes together with the reference station observation data and ISMR data as an accurate data set; The second main module is used for calculating ROTI and GFTI based on the observed data acquired by the low-cost equipment and recording the ROTI and GFTI and the observed data acquired by the low-cost equipment as a fuzzy data set; the third main module is used for interpolating the position of the puncture point coordinate in the fuzzy data set by adopting a common Kriging interpolation method based on the accurate data set; A fourth main module, configured to obtain a difference value by subtracting the interpolation result from the flicker index corresponding to the position where the coordinates of the puncture point in the fuzzy data set are located, and calculate a threshold value of an abnormal difference value in the difference value; And the fifth main module is used for dividing abnormal points corresponding to abnormal difference values generated by ionosphere scintillation according to scintillation occurrence ranges, analyzing subsequent scintillation occurrence positions according to scintillation drift speed and direction in a continuous time period and carrying out early warning.
9. An electronic device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the low cost device based regional crowd-sourced ionosphere scintillation monitoring and early warning method of any one of claims 1-7 when executing the computer program.
10. A computer readable storage medium storing a computer program, wherein the computer program when executed by a processor implements the steps of the low cost device based regional crowd-sourced ionosphere scintillation monitoring and early warning method of any one of claims 1 to 7.

Description

Regional crowdsourcing ionosphere scintillation monitoring and early warning method and system based on low-cost equipment Technical Field The invention belongs to the field of ionosphere scintillation monitoring, and particularly relates to a regional crowdsourcing ionosphere scintillation monitoring and early warning method and system based on low-cost equipment. Background Ionospheric disturbances are important phenomena in the spatial environment, and refer to rapid and significant changes in physical properties such as electron density or ion composition within the ionosphere that are affected by a variety of factors. In various types of disturbance, ionosphere flicker is a main threat affecting the accuracy and reliability of a Beidou satellite navigation system by virtue of extremely small spatial scale and sharp change characteristics. Ionosphere scintillation is mainly caused by small-scale structures such as plasma bubbles, the size of the structures is usually in the range of tens of meters to tens of kilometers, the local ionosphere electron density can be caused to generate drastic changes of tens of times or hundreds of times in a short time, the stability of signals is greatly influenced, the stable tracking capacity of a receiver to Beidou satellite signals is seriously interfered, cycle slip is extremely easy to cause, even the signals are completely unlocked, and finally the positioning accuracy generates meter-level errors. To accurately and comprehensively capture and monitor such ionosphere scintillation with small scale, short duration, rapid change speed and severe influence, large-scale, high-density and continuous observation data and monitoring networks must be relied on, so that the monitoring method at the present stage mainly focuses on constructing huge and complex monitoring networks by using a special ionosphere scintillation monitor (Ionospheric Scintillation Monitor Receiver, ISMR) such as an ionosphere vertical monitor, a satellite-based incoherent scattering radar, a foundation radar and the like, and calculating a phase scintillation indexAnd amplitude flicker indexAnd judging the flicker generation area and the flicker intensity. However, considering the wide distribution and dynamic variation of the flicker phenomenon worldwide, it is far from sufficient to rely on only expensive ISMR. Therefore, the wide use of the universal global navigation satellite system (Global Navigation SATELLITE SYSTEM, GNSS) receiver becomes a key to acquiring massive observation data and performing large-area monitoring. Based on the total electron content data available to the universal receiver, the scholars have proposed a variety of indirect but effective scintillation monitoring indices, such as the earliest ionospheric total electron content rate of change index (the Rate Of TEC Index, ROTI), and the subsequent arc-segment-along electron content rate of change index (AATR). These indices indirectly characterize the strength of ionospheric scintillation by analyzing the strength of the changes in ionospheric delay in GNSS signals over a particular time window. However, the above-mentioned index needs expensive and precise GNSS receiver observation data as input to calculate, and the existing deployment density cannot realize finer and accurate scintillation detection, so the method proposes to use low-cost equipment, such as a smart phone capable of receiving GNSS signals, a low-cost GNSS receiver installed in a vehicle such as a vehicle and an unmanned plane, to perform regional crowd-sourced ionosphere scintillation monitoring, and to construct a scintillation early warning system to provide services for users in a region. Disclosure of Invention The invention aims at solving the problems that the existing monitoring data source can provide small data density, limited data observable range, increased probability of missed detection and scintillation boundary blurring of ionosphere scintillation, reduced quality of scintillation monitoring and the like, and provides a regional crowdsourcing ionosphere scintillation monitoring and early warning method based on low-cost equipment. According to an aspect of the present disclosure, there is provided a regional crowd-sourced ionosphere scintillation monitoring and early warning method based on low-cost equipment, including: based on the acquired reference station observation data and ISMR data, calculating to obtain an ROTI, a geometric combination-free ionosphere scintillation index (GFTI) and a ISMR scintillation index, and recording the ROTI, the geometric combination-free ionosphere scintillation index, the ISMR scintillation index, the reference station observation data and ISMR data together as an accurate data set; The ROTI and GFTI are calculated based on the observation data acquired by the low-cost equipment, and are recorded as a fuzzy data set together with the observation data acquired by the low-cost equipment; Based on an ac