Title :
Bias phenomenon and analysis of a nonlinear transformation in a mobile passive sensor network
Author :
Ding, Zhen ; Leung, Henry
Author_Institution :
Radar Syst. Sect., Defense R&D Canada, Ottawa, ON, Canada
Abstract :
In this article, we consider the bias issue in a passive tracking system which utilizes a mobile passive sensor network, where bearing-only sensors such as Inferred or ESM are used. Biases due to nonlinear transformations have already been recognized, but have not been studied for this particular case of converted pseudo measurements in a mobile passive sensor network. Based on the Taylor series, the bias equations for a network of two passive sensors are derived. Monte Carlo simulation is used for analysis. There are two other non-linear transformations which are related to this study: 1. range/azimuth to X/Y; 2. range/azimuth to latitude/longitude. Insightful studies with explicit expressions are available for the first nonlinear transformation, but not for the second and the new nonlinear transformations. This article will provide an approximate solution and simulation study for the new nonlinear transformation.
Keywords :
Monte Carlo methods; mobile radio; passive networks; wireless sensor networks; Monte Carlo simulation; Taylor series; bearing-only sensors; mobile passive sensor network; nonlinear transformation; passive sensors; passive tracking system; Azimuth; Intelligent sensors; Mobile computing; Nonlinear equations; Radar tracking; Sensor phenomena and characterization; Sensor systems; Sensor systems and applications; Target tracking; Taylor series;
Conference_Titel :
Computational Intelligence for Security and Defense Applications, 2009. CISDA 2009. IEEE Symposium on
Conference_Location :
Ottawa, ON
Print_ISBN :
978-1-4244-3763-4
Electronic_ISBN :
978-1-4244-3764-1
DOI :
10.1109/CISDA.2009.5356558