Improved GPS Analysis and Data Fusion for Ionosphere World Day Campaigns Near Puerto Rico.
Abstract
Discrete inverse theory (DIT) and the RIBG model are used to process dual frequency GPS data. Differential Bias values are obtained for each receiver-satellite pair. Final Bias results are obtained as the median of daily Bias value solutions for the preceding week. Subtracting a median Bias value from shifted differential phase pseudorange data yields slant total electron content (TEC) data for input to an assimilating physical ionospheric propagation model (AIPM). Such data is processed to obtain driving parameters of the ionospheric model for near-real-time regional ionospheric specification. We illustrate this with RIBG, with its sunspot number (SSN) driving parameter, in the context of regional specification by a network of GPS receivers. The RIBG/DIT method is applied to Puerto Rico (PR) experiment data for June 23-29, 1998 and September 1-15, 1999 for several GPS receivers and satellites. Median differential biases, SSN values, and foF2 predictions from RIBG are compared with those from the conventional method, which maps an adjustable vertical TEC parameter to slant TEC by means of a spherical ionospheric shell. The RIBG results are found to be much more accurate, judging by transportability of SSN values to adjacent GPS stations, reasonability of the SSN values, and comparisons of foF2 predictions with ionosonde data. We provide GPS differential Bias values for the PR experiments. We discuss implications for ionospheric specification, development of an AIPM model, military navigation, and military systems.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 16, 1999
- Accession Number
- ADA370513
Entities
People
- Malkiat Singh
- Michael H. Reilly