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Transform domain localized processing using measured steering vectors and non-homogeneity detection
By: Adve, R.S.; Wicks, M.C.; Hale, T.B.;
1999 / IEEE / 0-7803-4977-6
This item was taken from the IEEE Conference ' Transform domain localized processing using measured steering vectors and non-homogeneity detection ' This paper presents two transform domain non-homogeneity detectors (NHDs) that account for the non-ideal array and the non-homogeneous interference environment. Each of these effects has been accounted for separately before (Adve and Wicks 1998; and Chang 1997). However, this paper is the first attempt to incorporate both effects into a single STAP algorithm. The formulation developed for the joint domain localized algorithm is tested on measured data from the MCARM database. The example illustrates the effects in detection performance by considering both the non-ideal system and non-homogeneous interference scenario, individually and in combination. The results show that if only the non-homogeneous data is accounted for, the NHD might actually worsen the situation. Both system and interference scenario imperfections must therefore be accounted for.
Space-time Adaptive Processing
Transform Domain Nonhomogeneity Detectors
Transform Domain Localized Processing
Joint Domain Localized Algorithm
Signal Processing Algorithms
Radar Signal Processing
Array Signal Processing