Efficient Reiterative Censoring of Robust STAP Using the FRACTA Algorithm
NAVAL RESEARCH LAB WASHINGTON DC RADAR DIV
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This paper presents further developments of the FRACTA algorithm which has been shown to be robust to nonhomogeneous environments containing outliers. The focus here is on the efficient implementation of the FRACTA algorithm. The key development is a censoring stopping mechanism whereby the number of reiterative steps can be minimized and computation is reduced. We introduce a data dependent stopping rule that demonstrates excellent results as evidenced by the detection of targets in the KASSPER challenge data cube. We also present some other enhancements to the FRACTA algorithm that further improve both efficiency and performance.
- Numerical Mathematics
- Active and Passive Radar Detection and Equipment
- Target Direction, Range and Position Finding
- Computer Programming and Software