Title

Statistical Analysis of IPIX Radar Clutter Signals

Presenter Information

Shixiang Steve Jia

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

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Apr 8th, 1:00 PM Apr 8th, 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.