Statistical Analysis of IPIX Radar Clutter Signals
Department
Electrical and Computer Engineering
Major
Electrical Engineering
Research Advisor
Zheng, Y. Rosa
Advisor's Department
Electrical and Computer Engineering
Funding Source
Air Force of Scientific Research
Abstract
This research deals with the auto- and cross- correlations of radar clutter signals which consist of rich backscattering from sea surfaces at low-grazing angles in high resolution radar systems. High-resolution polarimetric data were recorded by the IPIX radar of McMaster University in Dartmouth, Nova Scotia, Canada. This research verified that the clutters are of compound K distribution, which is the product of a complex Gaussian speckle and a Gamma-distributed texture. A low-pass filter is designed to extract the texture component from the compound K clutter and then the speckle component is also separated. The temporal correlation functions of the texture and speckle components are analyzed. The cross-correlation of the real and imaginary parts of the speckle is also studied. These correlation properties will help to guide the design of adaptive space-time adaptive processing (STAP) filters for non-Gaussian clutter suppression.
Biography
Shixiang Steve Jia is a junior at the undergraduate department of Electrical and Computer Engineering. Steve has been working under Dr. Y Rosa Zheng since fall 2008. This is Steve’s first undergraduate research project and this will be his first time attending the Undergraduate Research Conference. Steve has been a member of the Missouri S&T Solar Car team since spring 2008.
Research Category
Engineering
Presentation Type
Poster Presentation
Document Type
Poster
Location
Upper Atrium/Hallway
Presentation Date
08 Apr 2009, 1:00 pm - 3:00 pm
Statistical Analysis of IPIX Radar Clutter Signals
Upper Atrium/Hallway
This research deals with the auto- and cross- correlations of radar clutter signals which consist of rich backscattering from sea surfaces at low-grazing angles in high resolution radar systems. High-resolution polarimetric data were recorded by the IPIX radar of McMaster University in Dartmouth, Nova Scotia, Canada. This research verified that the clutters are of compound K distribution, which is the product of a complex Gaussian speckle and a Gamma-distributed texture. A low-pass filter is designed to extract the texture component from the compound K clutter and then the speckle component is also separated. The temporal correlation functions of the texture and speckle components are analyzed. The cross-correlation of the real and imaginary parts of the speckle is also studied. These correlation properties will help to guide the design of adaptive space-time adaptive processing (STAP) filters for non-Gaussian clutter suppression.
