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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Reid, D.B. Gesing, W.S. Mcwilliam, B.N. Smyth, J.E. |
| Copyright Year | 1980 |
| Description | Author affiliation: Philip A. Lapp Limited, Toronto, Canada (Reid, D.B.; Gesing, W.S.; Mcwilliam, B.N.) || Canada Centre for Remote Sensing, Ottawa, Canada (Smyth, J.E.) |
| Abstract | Optimal filtering and smoothing algorithms are used to obtain precise aircraft position, velocity and attitude information for remote sensing applications by post-flight processing of navigation data collected by several sensors. The data from an Inertial Navigation System (INS) is differenced with data obtained from other sensors which may include photogrammetric resections, a microwave ranging system, a barometric altimeter, a radar altimeter, a laser radar, a VLF/OMEGA navigation system and doppler radar to construct error measurements. The measurements are prefiltered to compress the data and are then processed through a Kalman filter to produce estimates of the time-correlated sensor errors. The filtered error estimates are smoothed by processing backwards in time and used to correct the INS data. The track recovery program uses the UDUT covariance factorized form of the filter algorithm and is capable of processing data from any subset of sensors. The residual errors observed in processing real data collected in a number of field tests are less than 1 meter in position and less than 0.03 degrees in attitude. |
| Starting Page | 584 |
| Ending Page | 585 |
| File Size | 201517 |
| Page Count | 2 |
| File Format | |
| DOI | 10.1109/CDC.1980.271862 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1980-12-10 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Aircraft navigation Doppler radar Laser radar Radar measurements Radar remote sensing Information filtering Information filters Smoothing methods Filtering algorithms Remote sensing |
| Content Type | Text |
| Resource Type | Article |
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