DocumentCode
3423360
Title
Statistical description of monopulse parameters for tracking Rayleigh targets
Author
Blair, W.D. ; Brandt-Pearce, M.
Author_Institution
Naval Surface Warfare Center, Dahlgren, VA, USA
fYear
1997
fDate
9-11 Mar 1997
Firstpage
128
Lastpage
132
Abstract
Using the amplitude conditioned probability density function (PDF) for monopulse radar measurements, the Cramer-Rao lower bound (CRLB) is developed for any unbiased estimator of the direction of arrival (DOA). Maximum likelihood (ML) and method of moments (MM) estimators of the DOA are developed along with estimates of the variances associated with the monopulse ratios and DOA estimate. The case of an unknown target amplitude is addressed by using the ML estimate of the target amplitude parameter formed from the sum signal. Using simulation results, the performances of the ML and MM estimators of the DOA are compared with the standard monopulse ratio and the performance of the variance estimators is studied
Keywords
Kalman filters; amplitude estimation; direction-of-arrival estimation; maximum likelihood estimation; method of moments; probability; radar tracking; target tracking; tracking filters; Cramer-Rao lower bound; DOA estimation; Rayleigh target tracking; amplitude conditioned probability density function; direction of arrival estimation; maximum likelihood estimation; method of moments estimator; monopulse radar parameters; monopulse ratios; statistical description; sum signal; target amplitude parameter; unbiased estimator; unknown target amplitude; variance estimators; Amplitude estimation; Direction of arrival estimation; Maximum likelihood estimation; Moment methods; Probability; Radar tracking; Sensor systems; Servomechanisms; Statistics; Target tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
System Theory, 1997., Proceedings of the Twenty-Ninth Southeastern Symposium on
Conference_Location
Cookeville, TN
ISSN
0094-2898
Print_ISBN
0-8186-7873-9
Type
conf
DOI
10.1109/SSST.1997.581592
Filename
581592
Link To Document