| Autor: |
I.S. Reed, J.S. Goldstein, Peter Zulch |
| Rok vydání: |
1999 |
| Předmět: |
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| Zdroj: |
IEEE Transactions on Aerospace and Electronic Systems. 35:645-661 |
| ISSN: |
0018-9251 |
| Popis: |
A new method of partially adaptive constant false-alarm rate (CFAR) detection is introduced. The processor implements a novel sequence of orthogonal subspace projections to decompose the Wiener solution in terms of the cross-correlation observed at each stage. The performance is evaluated using the general framework of space-time adaptive processing (STAP) for the cases of both known and unknown covariance. It is demonstrated that this new approach to partially adaptive STAP outperforms the more complex eigen-analysis approaches using both simulated DARPA Mountain Top data and true pulse-Doppler radar data collected by the MCARM radar. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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