Direct data domain approach to space-time adaptive processing

1.INTRODUCTIONFor airborne early warningradar,the pri mary objectiveisdetecting targets within severe interference environmentcharacterized by highlevels of groundclutter,jammerin-filtration,and other discrete interferers.Due to the mo-tion of the platform,the ground clutter received by air-borne radaris spread out inrange,spatial angle,and alsoover Doppler,which make the problem more complicat-ed.Space-ti me adaptive processing(STAP)techniquepromisesto be the best way to suppress clutte…

Direct data domain approach to space-time adaptive processing

In non-homogeneous environment, traditional space-time adaptive processing doesn' t effectively suppress interference and detect target, because the secondary data don' t exactly reflect the statistical characteristic of the range cell under test. A novel methodology utilizing the direct data domain approach to space- time adaptive processing (STAP) in airborne radar non-homogeneous environments is presented. The deterministic least squares adaptive signal processing technique operates on a "snapshot-by-snapshot" basis to determine the adaptive weights for nulling interferences and estimating signal of interest (SOI). Furthermore, this approach eliminates the requirement for estimating the covariance through the data of neighboring range rell,which eliminates calculating the inverse of covariance, and can be implemented to operate in resl-time. Simulation results illustrate the efficiency of interference suppression in non-homogeneous environment.