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

Volume

34

Issue

2

fYear

1998

fDate

4/1/1998 12:00:00 AM

Firstpage

597

Lastpage

611

Abstract

The conditional probability density function (pdf) is developed for each monopulse measurement of a Rayleigh target by conditioning the pdf of the complex monopulse ratio on the measured amplitude of the sum signal. The conditional pdf is used to develop the conditional Cramer-Rao Lower Bound (CRLB) for any unbiased estimator of the direction-of-arrival (DOA). Conditional maximum likelihood (CML) and conditional method of moments (CMM) estimators of the DOA are developed along with estimates of the variances associated with the monopulse ratio and DOA estimate. Using simulation results, the performances of the CML and CMM estimators of the DOA are compared with the performance of standard monopulse ratio and the performances of the variance estimators are also studied

Keywords

Monte Carlo methods; Rayleigh channels; direction-of-arrival estimation; estimation theory; maximum likelihood estimation; probability; target tracking; tracking; Rayleigh target; Rayleigh targets; conditional Cramer-Rao Lower Bound; conditional maximum likelihood; conditional method of moments; conditional pdf; conditional probability density function; direction-of-arrival; monopulse measurement; monopulse parameters; standard monopulse ratio; tracking; unbiased estimator; variance estimators; Coordinate measuring machines; Density measurement; Direction of arrival estimation; Moment methods; Probability density function; Pulse measurements; Radar measurements; Radar tracking; Statistics; Target tracking;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems, IEEE Transactions on

Publisher

ieee

ISSN

0018-9251

Type

jour

DOI

10.1109/7.670340

Filename

670340