DocumentCode :
523918
Title :
Magnetic Localization and Parameter Estimation Method Based on Frequency Domain
Author :
Pang Xueliang ; Lin Chunsheng
Author_Institution :
Dept. of Weaponry Eng., Naval Univ. of Eng., Wuhan, China
Volume :
2
fYear :
2010
fDate :
11-12 May 2010
Firstpage :
621
Lastpage :
625
Abstract :
At the present time magnetic compensation is not very accurate, an accurate solution of target parameters requires high robustness of the estimation algorithm. Traditional optimization method, when applied to magnetic positioning problem, is multidimensional, strongly nonlinear and not easy to converge. To surmount this, spectrum matching method is put forward. Spectrum matching method tries to convert the simultaneous searching of multidimensional optimal solution into sequential searching of optimal solution of lower dimensions. Two important parameters, time delay and the scale factor are roughly estimated from the energy of the signal. Then the algorithms generate functions of different time delays and scale factors for parameter matching and optimal solution of time delay and the scale factor are obtained by using a certain criterion. Simulation results agree with the theoretical analysis and the algorithm achieves its goal.
Keywords :
frequency-domain analysis; magnetic moments; parameter estimation; signal detection; spectral analysis; frequency domain method; magnetic localization; magnetic positioning problem; magnetic signal location; parameter estimation method; sequential searching; signal estimation; spectrum matching method; Algorithm design and analysis; Analytical models; Delay effects; Delay estimation; Frequency domain analysis; Magnetic domains; Multidimensional systems; Optimization methods; Parameter estimation; Robustness; CZT; Magnetic dipole; Magnetic localization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-7279-6
Electronic_ISBN :
978-1-4244-7280-2
Type :
conf
DOI :
10.1109/ICICTA.2010.339
Filename :
5523393
Link To Document :
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