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IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, VOL. 49, NO. 1, JANUARY 2001 91 A Deterministic Least-Squares Approach to
 

Summary: IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, VOL. 49, NO. 1, JANUARY 2001 91
A Deterministic Least-Squares Approach to
Space­Time Adaptive Processing (STAP)
Tapan Kumar Sarkar, Fellow, IEEE, Hong Wang, Sheeyun Park, Member, IEEE, Raviraj Adve, Member, IEEE,
Jinwan Koh, Kyungjung Kim, Yuhong Zhang, Senior Member, IEEE, Michael C. Wicks, Fellow, IEEE, and
Russell D. Brown, Fellow, IEEE
Abstract--A direct data domain (D3) least-squares space­time
adaptive processing (STAP) approach is presented for adap-
tively enhancing signals in a nonhomogeneous environment.
The nonhomogeneous environment may consist of nonstationary
clutter and could include blinking jammers. The D3 approach
is applied to data collected by an antenna array utilizing space
and in time (Doppler) diversity. Conventional STAP generally
utilizes statistical methodologies based on estimating a covariance
matrix of the interference using data from secondary range cells.
As the results are derived from ensemble averages, one filter
(optimum in a probabilistic sense) is obtained for the operational
environment, assumed to be wide sense stationary. However, for
highly transient and inhomogeneous environments the conven-
tional statistical methodology is difficult to apply. Hence, the D3

  

Source: Adve, Raviraj - Department of Electrical and Computer Engineering, University of Toronto
Sarkar, Tapan K. - Department of Electrical Engineering and Computer Science, Syracuse University

 

Collections: Engineering