Clutter and jammer mitigation for airborne radars
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Date
2018
Journal Title
Journal ISSN
Volume Title
Publisher
UMT.Lahore
Abstract
Detection of signal in the presence of noise was topic of great interest in the domain of Radar signal processing since after 2nd world war. But in that scenario the platform (Ground) itself was stationary and it was not so challenging to detect the signal in the presence of clutter or noise because clutter filtering can be easily done on the basis of Doppler shift .But in the last 20 years radar world has changed dramatically and active multichannel phased array antennas are now mostly using in every fighter plane mostly known as AESA (Active Electronically Scanned – Array radars).These Airborne radars have the capability to target any stationary or moving object one the ground . In case of targeting any moving object on the ground although the one problem is that the signal is totally embedded in noise. The second major problem is that Doppler frequency of clutter is dependent on the angle between clutter and radial velocity of Aircraft. Space time adaptive processing is the technique which filters the signal in both the spatial and temporal domain. For spatial sampling of the backscattered echo there must be multichannel phased array antenna, so the array geometry comes on account of spatial dimensions. And the 32temporal dimensions come on account of pulse trains. Adaptive processing is derived from the word 'Adaptation’. This means on account of changing nature of clutter and jammer noise there is a need to estimate the "inverse" of clutter and jammer noise space time covariance -matrix. For modeling all of these STAP algorithms current program must have to link a complete mono-static radar. So first modeling a complete mono-static radar in which based on radar design specifications radar parameters will be designed, target, transmitter, receiver and propagation environment effects will incorporate and After that linking this radar for performing space time adaptive processing.