Difference between revisions of "GPS analysis system"

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(Cleaning Solutions)
(Running Solutions)
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===Running Solutions===
 
===Running Solutions===
  
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Solve, a very flexible script. (link to detailed help)
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Philosophy of solve
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Subnet files and campaign files
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Standard solutions
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(text of standard_Alaska_solution)
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Running several days at once: make-make-flt and make-alaska
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(text of a standard make-alaska file and variant)
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Running several weeks at once
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(text of sample rerun-* file)
  
 
===Cleaning Solutions===
 
===Cleaning Solutions===

Revision as of 13:35, 20 May 2006

We use a GPS data analysis system based on the GIPSY software developed at JPL. Most of the GIPSY programs are called by shell scripts written by Jeff Freymueller. Using these scripts, we can analyze a large amount of data either as part of network solutions or in Precise Point Positioning (PPP) mode.

Where do you put RINEX files?

RINEX files should be put into the hopper, $RAWDATA/hopper. What, you don't have RINEX files yet? See RINEXing. Once files are in the hopper, you can either let the first processing stages happen automatically overnight (see next section), or run the autofront and autoclean programs manually.

What happens automatically?

Autoftp

Autofront

Autoclean

Where do the data files go?

Data files from each station are stored in the QM format that is native to GIPSY. QM files (and all other) files are stored in directories by GPS week. For each week directory there are several subdirectories; qm files are stored in $ANALYSIS/wwww/qm, where wwww is the 4 character GPS week number (with a leading zero if needed).

Running Solutions

Solve, a very flexible script. (link to detailed help)

Philosophy of solve

Subnet files and campaign files

Standard solutions

(text of standard_Alaska_solution)

Running several days at once: make-make-flt and make-alaska

(text of a standard make-alaska file and variant)

Running several weeks at once

(text of sample rerun-* file)

Cleaning Solutions

Initial Explanation of terms

Expected residuals from a clean solution

Automated screening: postfit, the point file, postbreak

Checking for bad pseudorange data: badp, allbadp

Removing biased pseudorange data: del_pcode_arc

Automatically identified cycle slips: breaks

Quickly scanning through residuals: short_hand

Limitations of short_hand

Manually checking residuals and fixing problems (link)