ON PARTICLE FILTERS FOR LANDMINE DETECTION USING IMPULSE GROUND PENETRATING RADAR

被引:4
|
作者
Ng, William [1 ]
Chan, Thomas C. T. [1 ]
So, H. C. [1 ]
Ho, K. C. [2 ]
机构
[1] City Univ Hong Kong, Hong Kong, Hong Kong, Peoples R China
[2] Univ Missouri, Columbia, MO 65211 USA
关键词
D O I
10.1109/SAM.2008.4606860
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, we present an online stochastic approach for landmine detection based on ground penetrating radar (GPR) signals using sequential Monte Carlo (SMC) methods. Since the existence of true landmines is unknown and random, we propose to use the reversible jump Markov chain Monte Carlo (RJMCMC) in association with the SMC methods to jointly detect and localize landmines in the light of observations. Computer simulations on real GPR measurements demonstate the robust and consistent performance of the proposed method.
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页码:225 / +
页数:2
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