Multipulse Adaptive Coherence for Detection in Wind Turbine Clutter
Autor: | Margaret Cheney, Matthew Ferrara, Andrew J. Homan, Pooria Pakrooh, Louis L. Scharf |
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Rok vydání: | 2017 |
Předmět: |
Physics
020301 aerospace & aeronautics Acoustics Detector Aerospace Engineering 020206 networking & telecommunications 02 engineering and technology Moving target indication law.invention Constant false alarm rate 0203 mechanical engineering Computer Science::Systems and Control law Stationary target indication 0202 electrical engineering electronic engineering information engineering Coherence (signal processing) Clutter Electrical and Electronic Engineering Radar Radar horizon Physics::Atmospheric and Oceanic Physics Remote sensing |
Zdroj: | IEEE Transactions on Aerospace and Electronic Systems. 53:3091-3103 |
ISSN: | 0018-9251 |
DOI: | 10.1109/taes.2017.2727825 |
Popis: | Radar tracking of aircraft targets at low elevation angles can be complicated by clutter from wind turbines, which we define to be clutter. In this paper, we study detection in a staring pulse-Doppler radar. By exploiting the second-order correlation structure of this wind-turbine clutter we derive a target detector that uses a sequence of adaptive coherence scores. The detector uses a multipulse coherence statistic consisting of an incoherent geometric average of coherently computed adaptive coherence scores. The detector compares favorably to a multipulse coherence detector that uses no modeling or estimation of the clutter. |
Databáze: | OpenAIRE |
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