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
fDate :
4/1/1998 12:00:00 AM
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;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
