DocumentCode
603885
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
fYear
2013
fDate
9-12 Jan. 2013
Firstpage
1
Lastpage
1
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/USNC-URSI-NRSM.2013.6525103
Filename
6525103
Link To Document