Time-varying space-time autoregressive filtering algorithm for space-time adaptive processing
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| Publicado en: | IET Radar, Sonar & Navigation vol. 6, no. 4 (Apr 2012), p. 213-221 |
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| Autor principal: | |
| Otros Autores: | , , |
| Publicado: |
The Institution of Engineering & Technology
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| Acceso en línea: | Citation/Abstract Full Text - PDF |
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| 100 | 1 | |a Wu, D | |
| 245 | 1 | |a Time-varying space-time autoregressive filtering algorithm for space-time adaptive processing | |
| 260 | |b The Institution of Engineering & Technology |c Apr 2012 | ||
| 513 | |a Feature | ||
| 520 | 3 | |a This study introduces a new type of space-time autoregressive (STAR) filtering algorithm for space-time adaptive processing (STAP) operating in a clutter environment that is not strictly stationary in slow time. The original STAR approach based on stationary autoregressive (AR) model, despite enjoying a fast convergence rate, suffers significant performance degradation when dealing with non-stationary clutter processes. To remedy this, the new proposed algorithm invokes a 'relaxed' AR model, that is, the time-varying autoregressive (TVAR) model, and is called time-varying space-time autoregressive (TV-STAR) filtering. The authors demonstrate that, for stationary case, the two filters have identical output signal-to-interference plus noise ratio with known interference covariance, but the convergence rate of TV-STAR is somewhat inferior to STAR with finite sample support. However, in the non-stationary case, the STAR filter totally fails because of 'model-mismatch', whereas TV-STAR exhibits a commensurate performance with respect to the stationary case. Meanwhile, TV-STAR is shown to offer a favourable convergence rate over reduced-rank STAP techniques such as eigencanceler method in both cases. | |
| 700 | 1 | |a Zhu, D | |
| 700 | 1 | |a Shen, M | |
| 700 | 1 | |a Zhu, Z | |
| 773 | 0 | |t IET Radar, Sonar & Navigation |g vol. 6, no. 4 (Apr 2012), p. 213-221 | |
| 786 | 0 | |d ProQuest |t Advanced Technologies & Aerospace Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/1638872374/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/1638872374/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |