DocumentCode
2217841
Title
Signal amplitude conditioned density function for monopulse measurements of fixed-amplitude targets
Author
Blair, W.D. ; Brandt-Pearce, M.
Author_Institution
Dept. of Syst. Res. & Technol., Naval Surface Warfare Center, Dahlgren, VA, USA
fYear
1996
fDate
13-16 May 1996
Firstpage
374
Lastpage
379
Abstract
Since the measured amplitude of the sum-signal of a monopulse radar is known in the receiver, the probability density function (PDF) for the monopulse measurements can be conditioned on the measured amplitude. The conditional PDF and related statistical properties are developed for the in-phase and quadrature parts of the monopulse measurements of fixed-amplitude targets. Conditions under which the conditional PDF can be approximated as Gaussian are considered. A decoupling of the estimation of the target amplitude and the monopulse processing is proposed for estimating the direction-of-arrival (DOA) for moderate to low SNR targets. Estimators of the variances of the monopulse measurements and the DOA estimate are also given for use in decision and control algorithms such as target tracking with a Kalman filter
Keywords
Gaussian processes; Kalman filters; direction-of-arrival estimation; filtering theory; probability; radar applications; radar tracking; tracking filters; DOA estimation; Gaussian approximation; Kalman filter; SNR; conditional PDF; control algorithms; decision algorithms; direction of arrival; fixed amplitude targets; measured amplitude; monopulse measurements; monopulse processing; monopulse radar; probability density function; receiver; signal amplitude; statistical properties; sum signal; target tracking; variances; Amplitude estimation; Control systems; Density functional theory; Density measurement; Direction of arrival estimation; Electric variables measurement; Probability density function; Radar measurements; Servomechanisms; Target tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Radar Conference, 1996., Proceedings of the 1996 IEEE National
Conference_Location
Ann Arbor, MI
Print_ISBN
0-7803-3145-1
Type
conf
DOI
10.1109/NRC.1996.510710
Filename
510710
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