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Practical joint domain localised adaptive processing in homogeneous and
 

Summary: Practical joint domain localised adaptive
processing in homogeneous and
nonhomogeneous environments.
Part 2: Nonhomogeneous environments
R.S.Adve, T.E.Hale and M.C.Wicks
Alistract: The second part of this two-part paper deals with spacc-timc ndaptivc processing
(STA P) in northoniogencous environments. This paper introduces a new Iwo-dimensional iioii-
slalistical, dirccl data doiiiaiii (D3) STAP algorithm and ii hybritlisatiori of this 113approach with
thc joint domain localiscd (SDI,)a1gr)rithin.'I'hc U3 algorithm rcplaccs thc tion-adaptive transform
used in Part 1 thereby suppressing discretc inlcrkrencc. A second stiigc of statistical processing i i i
the angle-Doppler domain suppresses residual corrclatcd inlcrrcrcncc. This iicw two-stage hybrid
STAP techniqiie allows for the application of the JDL algorithm within raiigc cclls dctcrmined to
he nonhomogeneous. The development here draws heavily on the I'ormulatioi~prcsciitcd iii I'art 1
of this paper. l h e work presetited brings together two difl'ercnt aspects of STAP rcscarch:
statistical nnd [I'processing. In doing so, this research fulfils ai1 imporhiit nccd in the cni~tcxto f
practictil S'I'A'I', particularly knowledge-based algorithms. The cnvisioncd sysicnl iiscs multi-pass
processing to detcrininc key information regarding the interference scenario. Dcpcndiiig on the
hoiiiogcncity ofthc inlcrlcmncc, thc algorithiil in Part 1 01'that in Part 2 of the paper inay bc iisccl.
1 Introduction
Classicd spacc -.time adaptivc processing (STAP) irlgO-

  

Source: Adve, Raviraj - Department of Electrical and Computer Engineering, University of Toronto

 

Collections: Engineering