In this paper we perform an experimental analysis for assessing the Constant False Alarm Rate (CFAR) behavior of four coherent adaptive radar detectors in the presence of experimentally measured clutter data. To this end we exploit several data files containing both land and lake clutter, collected by two radar systems (the MIT Lincoln Laboratory Phase-One radar and the McMaster IPIX radar) at different polarizations, range resolutions, and frequency bands. The results show that all the receivers, in the presence of real data, don't respect their nominal Probability of false alarm (P fa), namely they exhibit a false alarm rate higher than the value preassigned at the design stage. Nevertheless one of them, the Recursive Persymmetric Adaptive Normalized Matched Filter (RP-ANMF) is very robust, in the sense that it presents an acceptable displacement from the nominal P fa, in correspondence of all the analyzed scenarios.
CFAR behavior of adaptive detectors: An experimental analysis / DE MAIO, Antonio; G., Foglia; Conte, Ernesto; A., Farina. - ELETTRONICO. - (2004), pp. 333-338. (Intervento presentato al convegno Proceedings of the IEEE Radar Conference, 2004. tenutosi a Philadelphia, PA nel 2004) [10.1109/NRC.2004.1316445].
CFAR behavior of adaptive detectors: An experimental analysis
DE MAIO, ANTONIO;CONTE, ERNESTO;
2004
Abstract
In this paper we perform an experimental analysis for assessing the Constant False Alarm Rate (CFAR) behavior of four coherent adaptive radar detectors in the presence of experimentally measured clutter data. To this end we exploit several data files containing both land and lake clutter, collected by two radar systems (the MIT Lincoln Laboratory Phase-One radar and the McMaster IPIX radar) at different polarizations, range resolutions, and frequency bands. The results show that all the receivers, in the presence of real data, don't respect their nominal Probability of false alarm (P fa), namely they exhibit a false alarm rate higher than the value preassigned at the design stage. Nevertheless one of them, the Recursive Persymmetric Adaptive Normalized Matched Filter (RP-ANMF) is very robust, in the sense that it presents an acceptable displacement from the nominal P fa, in correspondence of all the analyzed scenarios.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
