Title :
ML Estimation of true Height in 2-D Radar Network
Author :
Zhiyong, Luo ; Jia-Zhou, He
Author_Institution :
Jiangsu Autom. Res. Inst., Lianyungang
Abstract :
In this paper, a method based on maximum likelihood to estimate the target true height in 2-D radar network is presented, and it is mathematically proved that the estimator is unbiased The Cramer-Rao low bound (CRLB) of estimation error is also derived Some conclusions are drawn based on simulations. It´s concluded that the bearing error only has a bounded influence on CRLB, however, the influence on CRLB exerted by ranging error is unbounded It´s also found that CRLB is superlinear function of target-radar distance, and CRLB affected by target altitude or baseline length acutely as target altitude or baseline length is small.
Keywords :
maximum likelihood estimation; radar tracking; 2D radar network; CRLB; Cramer-Rao low bound; ML estimation; maximum likelihood estimation; ranging error; superlinear function; target-radar distance; Automation; Bismuth; Coordinate measuring machines; Earth; Ellipsoids; Helium; Maximum likelihood detection; Maximum likelihood estimation; Position measurement; Radar measurements; CRLB; maximum likelihood estimation; radar networking; relative height; true height;
Conference_Titel :
Information Fusion, 2007 10th International Conference on
Conference_Location :
Quebec, Que.
Print_ISBN :
978-0-662-45804-3
Electronic_ISBN :
978-0-662-45804-3
DOI :
10.1109/ICIF.2007.4407980