Date: October 29, 2004

Time: 3:00 pm

Location: GCATT Room 325

Speaker(s): Ryan Hersey

Title: Space-Time Adaptive Processing with a Conformal Array

Abstract:
Conformal arrays possess certain desirable characteristics for deployment on unmanned aerial vehicles and other payload-limited platforms: aerodynamic design, minimal payload weight, and increased field of view. However, the conformal array’s nonlinear geometry creates problems for conventional space-time adaptive processing (STAP) algorithms.

In this presentation, we first overview conventional STAP and ground clutter characteristics for a uniform linear array. We then expand the processing and modeling to the 3-D nonlinear conformal array case. We find that the conformal array’s nonlinear geometry induces nonstationary clutter returns, which greatly burden the performance of conventional STAP algorithms. We conclude with an overview of several ameliorating solutions.

Bio:
Ryan Hersey received his B.S. and M.S. degrees in 1998 and 2000 from the Penn State in engineering science and mechanics. In August of 2000, he began working on Ph.D. at Georgia Tech in electrical and computer engineering. He is working under the advisement of James McClellan and Bill Melvin and will graduate this coming December. His current research interests include airborne radar, ground moving target indication, conformal arrays, and detection and estimation.

Date:	October 29, 2004
Time:	3:00 pm
Location:	GCATT Room 325
Speaker(s):	Ryan Hersey
Title:	Space-Time Adaptive Processing with a Conformal Array
Abstract:	Conformal arrays possess certain desirable characteristics for deployment on unmanned aerial vehicles and other payload-limited platforms: aerodynamic design, minimal payload weight, and increased field of view. However, the conformal array’s nonlinear geometry creates problems for conventional space-time adaptive processing (STAP) algorithms. In this presentation, we first overview conventional STAP and ground clutter characteristics for a uniform linear array. We then expand the processing and modeling to the 3-D nonlinear conformal array case. We find that the conformal array’s nonlinear geometry induces nonstationary clutter returns, which greatly burden the performance of conventional STAP algorithms. We conclude with an overview of several ameliorating solutions.
Bio:	Ryan Hersey received his B.S. and M.S. degrees in 1998 and 2000 from the Penn State in engineering science and mechanics. In August of 2000, he began working on Ph.D. at Georgia Tech in electrical and computer engineering. He is working under the advisement of James McClellan and Bill Melvin and will graduate this coming December. His current research interests include airborne radar, ground moving target indication, conformal arrays, and detection and estimation.