To reduce the need for training data or for accurate prior knowledge of the clutter statistics in space-time adaptive processing (STAP), we consider high resolution angle-Doppler imaging by processing each range bin of interest independently. Specifically, we use a weighted least-squares-based iterative adaptive approach (IAA) to form angle-Doppler images of both clutter and targets for each range bin of interest. The resulting angle-Doppler images can be used with localized detection approaches for moving target indication (MTI). We show via numerical examples that the robust and nonparametric IAA algorithm can be used to enhance the MTI performance significantly as compared with existing approaches.
High Resolution Angle-Doppler Imaging for MTI Radar
IEEE Transactions on Aerospace and Electronic Systems ; 46 , 3 ; 1544-1556
2010-07-01
3319148 byte
Article (Journal)
Electronic Resource
English
High Resolution Angle-Doppler Imaging for MTI Radar
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