TY - GEN
T1 - Collinearity problems in passive target localization using direction finding sensors
AU - Fidan, Bariş
AU - Drake, Samuel P.
AU - Anderson, Brian D.O.
AU - Mao, Guoqiang
AU - Kannan, Anushiya A.
PY - 2009/12
Y1 - 2009/12
N2 - In passive target localization using direction finding (DF), there are particular sensor-target placements that cause large biases in the estimates or the failure of estimates to converge to a unique solution. Identification of such problematic configurations is crucial for implementing estimation and tracking algorithms effectively. In this paper we propose four methods for characterizing near-collinearity problems in a sensor-target configuration which enable one to quickly and easily identify cases in which DF-based localization will fail to obtain a solution or give unreliable results.
AB - In passive target localization using direction finding (DF), there are particular sensor-target placements that cause large biases in the estimates or the failure of estimates to converge to a unique solution. Identification of such problematic configurations is crucial for implementing estimation and tracking algorithms effectively. In this paper we propose four methods for characterizing near-collinearity problems in a sensor-target configuration which enable one to quickly and easily identify cases in which DF-based localization will fail to obtain a solution or give unreliable results.
UR - http://www.scopus.com/inward/record.url?scp=77950950418&partnerID=8YFLogxK
U2 - 10.1109/ISSNIP.2009.5416817
DO - 10.1109/ISSNIP.2009.5416817
M3 - Conference contribution
AN - SCOPUS:77950950418
SN - 9781424435180
T3 - ISSNIP 2009 - Proceedings of 2009 5th International Conference on Intelligent Sensors, Sensor Networks and Information Processing
SP - 115
EP - 120
BT - ISSNIP 2009 - Proceedings of 2009 5th International Conference on Intelligent Sensors, Sensor Networks and Information Processing
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2009 5th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2009
Y2 - 7 December 2009 through 10 December 2009
ER -