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Abstract
Moving target detection is a critical function fur the operaLion of most modern radars. It enables the radar to distinguish between desired targets (moving aircrafls or missiles) and undesired tarrzets (reflections froni terrain, trees .birds. sea and ruin). These undesired targets are called radar (l1ith, which ectcnsicty degrade the 1wriurmancc of tue radar sstcni. Moving target detection is essential in both civilian and military applications, The Moving Target Indicator (MT!) ideally functions to eliminate clutter through hic use ol a conib litter, where its slopband is placed in regions of heavy clutter concentrations. Moing targets INISS through those velocity regions not occupied by the clutter. Moving clutter such as sea or weather Vair not be completely canceled using the time invariant Mil duc to the fuel that the statistics of the clutter is considered cuasistationcry. Thus, the adaptive MII is introduced which adjusts its frequency rcsFu1sc in accordance with the estimated clutter spectrum. In this work a proposal of un adaptive clutter canceler is based on adaptivc filtering technique. The pcrtbrmancc of the adaptive clutter canceler is examhni and evaluated through computer simulation and ،lis compared with the petliwmancc of the faxed-weight clutter canceler for ditibrent clutter models and at dilkrcnt signal to clutter ratios. ‘The results show that the adaptive clutter canceler exhibits a better pertbrmancc iban the (bed-weight clutter canceler for different clutter models. Moreover, the adaptive clutter canceler improves the signal to clutter ratio for the radar detection process.