Post Pulse Compression and Partially Adaptive Multi-Waveform Space-Time Adaptive Processing for Heterogeneous Clutter
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| Publicat a: | ProQuest Dissertations and Theses (2018) |
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| 001 | 2382015089 | ||
| 003 | UK-CbPIL | ||
| 020 | |a 9781392567890 | ||
| 035 | |a 2382015089 | ||
| 045 | 2 | |b d20180101 |b d20181231 | |
| 084 | |a 66569 |2 nlm | ||
| 100 | 1 | |a Harnett, Lumumba | |
| 245 | 1 | |a Post Pulse Compression and Partially Adaptive Multi-Waveform Space-Time Adaptive Processing for Heterogeneous Clutter | |
| 260 | |b ProQuest Dissertations & Theses |c 2018 | ||
| 513 | |a Dissertation/Thesis | ||
| 520 | 3 | |a A new form of multi-waveform space-time adaptive processing (MuW-STAP) is presented. The formulation provides additional training data for adaptive clutter cancellation for ground moving target indication after pulse compression. The pulse compression response is homogenized using stochastic phase filters to produce a smeared response that approximates identically distribution assumed by covariance estimation. Post pulse compression MuW-STAP (PMuW-STAP) is proposed to address clutter heterogeneity that causes degradation in detection performance of STAP similar to single-input multi-output MuW-STAP. Furthermore, the family of MuW-STAP algorithms are computationally expensive due to estimation of multiple covariance matrices and inversion of a single covariance for every range sample. Well-known partially adaptive techniques, previously implemented in STAP, are implemented with PMuW-STAP. Partial adaptation in element-space post-Doppler, beam-space pre-Doppler, and beam-space post-Doppler are presented. Each of these are examined on several simulated, controlled clutter scenarios. Fully adaptive PMuW-STAP is further evaluated on the high-fidelity knowledge aided adaptive radar architecture: knowledge-aided sensor signal processing and expert reasoning (KASSPER) dataset. | |
| 653 | |a Electrical engineering | ||
| 773 | 0 | |t ProQuest Dissertations and Theses |g (2018) | |
| 786 | 0 | |d ProQuest |t ProQuest Dissertations & Theses Global | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/2382015089/abstract/embedded/75I98GEZK8WCJMPQ?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/2382015089/fulltextPDF/embedded/75I98GEZK8WCJMPQ?source=fedsrch |