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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Fritz, J. Chandrasekar, V. |
| Copyright Year | 2007 |
| Description | Author affiliation: Colorado State Univ., Fort Collins (Fritz, J.; Chandrasekar, V.) |
| Abstract | The retrieval of the surface-layer moisture field can be obtained by estimating the refractive index of air, measured in parts per million and referred to as refractivity. A technique developed to estimate the refractivity using radar has been demonstrated with validated results from field experiments [1], [2]. This technique utilizes the measured change in phase from stationary ground targets, which will be primarily due to changes in refractivity at warmer temperatures given a stable radar frequency. While this technique has been successfully demonstrated on individual radars, there is no clearly defined method of combining multiple radar estimations beyond gridding and averaging. Recently, however, a new algorithm was proposed as an alternative approach, especially when dealing with multiple radars [3]. The new algorithm uses a minimum least squared error approach, with a smoothing constraint and a method to address phase wrapping. This paper will explore the implementation of this constrained least squares (CLS) approach with data collected during a refractivity field experiment during the summer of 2006 in Colorado. It will also explore the implications of running the CLS algorithm in real-time, and briefly discuss future directions. |
| Starting Page | 2738 |
| Ending Page | 2741 |
| File Size | 603209 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424412112 |
| DOI | 10.1109/IGARSS.2007.4423409 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-07-23 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Refractive index Radar measurements Phase estimation State estimation Moisture measurement Phase measurement Land surface temperature Frequency Wrapping Collaborative software |
| Content Type | Text |
| Resource Type | Article |
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