Multipulse Adaptive Coherence for Detection in Wind Turbine Clutter

Autor: Margaret Cheney, Matthew Ferrara, Andrew J. Homan, Pooria Pakrooh, Louis L. Scharf
Rok vydání: 2017
Předmět:
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