Title :
Clustering and confidence intervals for radar target identification and estimation
Author :
Volz, Ryan ; Close, Sigrid ; Erickson, Philip J.
Author_Institution :
Aeronaut. & Astronaut., Stanford Univ., Stanford, CA, USA
Abstract :
Pulsed radar data often presents the task of identifying targets and estimating their properties through use of a metric (data-derived, modeled, or hybrid) unique to the targets under study. Accuracy and reliability of this procedure is extremely important, especially since subsequent processing and scientific results can be inaccurate or misleading if target identification and estimation is flawed. For this reason, we present reliable methods for performing these processing steps and quantify their accuracy using real and simulated data.
Keywords :
filtering theory; matched filters; pattern clustering; radar clutter; radar target recognition; radar tracking; reliability; clustering; clutter; confidence interval; data-derived metric; hybrid metric; matched filter; modeled metric; pulsed radar data; radar target estimation; radar target identification; reliability; Accuracy; Atmospheric modeling; Doppler shift; Estimation; Radar; Reliability; Signal to noise ratio;
Conference_Titel :
Radio Science Meeting (USNC-URSI NRSM), 2013 US National Committee of URSI National
Conference_Location :
Boulder, CO
Print_ISBN :
978-1-4673-4776-1
DOI :
10.1109/USNC-URSI-NRSM.2013.6525103