Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/2200
Title: Atmospheric radar signal processing using new algorithm and advanced techniques
Researcher: Jagannadham D B V
Guide(s): Aanandan V K
Kishore, K Lal
Keywords: Electronics
Atmospheric Radars
Signal processing techniques
Upload Date: 11-Aug-2011
University: Jawaharlal Nehru Technological University
Completed Date: 2010
Abstract: Radar probing of the atmosphere entered a new phase in early seventies through the pioneering work of Woodman and Guillen demonstrating that high power VHF radars offer a powerful means to explore the structure and dynamics of the middle atmosphere with unprecedented height and time resolutions. Their original work, employing the Jicamarca radar, led to the concept of Mesosphere- Stratosphere-Troposphere (MST) radar and this class of radars has come to dominate the scene of atmospheric probing over the past few decades. Nowadays atmospheric radars are extensively used for obtaining the wind information (wind profiler) by remote sensing of the atmosphere from ground. The Wind Profiling Radar System is an extremely versatile and high performance instrument for studies of the lower and middle atmosphere. Wind profilers data are widely used in the meteorological community for research and for the initialization of forecast models. However, any systematic velocity errors, such as those caused by any interference, make these data potentially less valuable or even damaging for analysis and prediction. Therefore identification of atmospheric signals from the radar back scattered echoes and computation of wind velocity is significant in the atmospheric radar data processing. It is possible with the sophisticated signal processing techniques to improve the accuracy of the wind velocities measured by the wind profilers. Continued integration of wind profiling technology into operations and research requires continued improvement in the reliability and accuracy in the derived meteorological products. In particular, extracting measurements of meteorological quantities in the presence of interfering signals and quantifying the error in the measurements introduced by non-homogeneous and other limiting meteorological conditions must be addressed. Certainly, improvements in profiler hardware offer some advantages and must be pursued; however, these improvements will be incremental. Significant improvements are possible through signal processing advances discussed in this thesis.
Pagination: 143p.
URI: http://hdl.handle.net/10603/2200
Appears in Departments:Department of Electronics and Communication Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File292.65 kBAdobe PDFView/Open
02_dedication.pdf254.14 kBAdobe PDFView/Open
03_certificate.pdf344.26 kBAdobe PDFView/Open
04_declaration.pdf264.95 kBAdobe PDFView/Open
05_acknowledgements.pdf300.66 kBAdobe PDFView/Open
06_contents.pdf279.1 kBAdobe PDFView/Open
07_list of figures.pdf271.75 kBAdobe PDFView/Open
08_abstract.pdf201.21 kBAdobe PDFView/Open
09_chapter 1.pdf395.22 kBAdobe PDFView/Open
10_chapter 2.pdf685.38 kBAdobe PDFView/Open
11_chapter 3.pdf2.66 MBAdobe PDFView/Open
12_chapter 4.pdf882.42 kBAdobe PDFView/Open
13_chapter 5.pdf1.82 MBAdobe PDFView/Open
14_conclusion.pdf266.19 kBAdobe PDFView/Open
15_annaxture.pdf643.4 kBAdobe PDFView/Open
16_references.pdf281.3 kBAdobe PDFView/Open
17_synopsis.pdf401.81 kBAdobe PDFView/Open


Items in Shodhganga are protected by copyright, with all rights reserved, unless otherwise indicated.