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  • 陈俊东,吴则举,刘云.贝叶斯方法在二维目标定位中的应用[J].电讯技术,2005,45(3):139 - 142.    [点击复制]
  • .Application of Bayesian Method in Locating Two Dimensional Objects[J].,2005,45(3):139 - 142.   [点击复制]
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贝叶斯方法在二维目标定位中的应用
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摘要:
本文对如何运用贝叶斯方法,以一维方式采集资料,进行二维目标定位作了一些探讨。实验中,运用光电计测定出发射和接收红外二极管的模式,通过分析建立起物体的二维模型方程,然后运用贝叶斯方法,估计出物体在坐标中的水平位置和垂直距离。进而验证了这种基于贝叶斯方法的二维物体定位算法。这为以后研制具有较强实用性的地雷探测仪或者是其它的不方便进入目标区域情况下的应用提供了方法上的依据。
关键词:  目标定位  贝叶斯频谱估计  标准正交化  多余参量  Student t-分布
DOI:10.3969/j.issn.1001-893X.
基金项目:
Application of Bayesian Method in Locating Two Dimensional Objects
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Abstract:
Measurements in one dimension are often easier to make than 2 or 3 dimensional measurements. Knowledge of the instrument response to the target's reflection, where data is taken in one dimension but the target is located in 2 or 3 dimensions, allows estimating target position using Bayesian methods. To illustrate the idea, a narrow beam infrared diode is served to illuminate the target. A phototransistor, also narrow beam, is served as the receiver.The authors show that knowledge of the instrument response permits estimating target position over a wide area. Application of this method allows estimating target position while remotely observing the target. This property is useful in application such as land mine detector when using electromagnetic signal to examine the area of interest or other situations where the sensor should not enter the target area.
Key words:  Locating object,Bayesian spectral estimation,Orthonormal,Nuisance parameter,Student t-distribution
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