Passive position finding of stationary targets: Based on circulation and the least square concept

Autor:	Zahra Jamshidi, Ala Mahdavi, Arman Ahmadian
Rok vydání:	2012
Předmět:	Error function Mathematical optimization Circulation (fluid dynamics) Bearing (mechanical) Position (vector) law Convex optimization Proper convex function Convex combination Filter (signal processing) Algorithm Mathematics law.invention
Zdroj:	ISPACS
DOI:	10.1109/ispacs.2012.6473517
Popis:	A method for two dimensional position finding of stationary targets whose bearing measurements suffers from indeterminable bias and random noise has been proposed. The algorithm uses convex optimization to minimize an error function which has been calculated based on circular as well as linear loci of error. Taking into account a number of observations, certain modifications have been applied to the initial crude method so as to arrive at a faster, more accurate method. Simulation results of the method illustrate up to 30% increase in accuracy compared with the well-known least square filter.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::46eabf26858c486ce7386b153e7b245f https://doi.org/10.1109/ispacs.2012.6473517 Zobrazit plný text záznamu