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多传感器的极大似然配准算法研究
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2009-07-10
吴湛
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数据配准是多传感器数据融合的先期处理过程。在研究了传统的最小二乘算法的基础上, 提出了基于三维坐标系中的极大似然配准算法, 解决了最小二乘配准算法对于传感器相距较远时无法解决的问题。最后通过计算机仿真验证了算法的有效性。
关键词: 数据融合; 数据配准; 极大似然配准法; 仿真分析
Abstract:Data regist rat ion is a p rerequ isite p rocess in m u li2sen so r data fu sion. O n the basis of wo rk s on t radit ional least squ ires techn iques, a m ax im um likelihood Regist rat ion A lgo rithm in 32D space is p resen ted in th is paper, that so lves the p rob lem that the least square regist rat ion algo rithm fails to handle w hen the sen so rs are far f rom each o ther. F inally, the eff iciency of th is algo rithm is demon st rated via compu ter sim u2
lat ion.
Key words: data fu sion, data regist rat ion. m ax im um likelihood regist rat ion algo rithm , sim u lat ion analy2 sis.
关键词: 数据融合; 数据配准; 极大似然配准法; 仿真分析
Abstract:Data regist rat ion is a p rerequ isite p rocess in m u li2sen so r data fu sion. O n the basis of wo rk s on t radit ional least squ ires techn iques, a m ax im um likelihood Regist rat ion A lgo rithm in 32D space is p resen ted in th is paper, that so lves the p rob lem that the least square regist rat ion algo rithm fails to handle w hen the sen so rs are far f rom each o ther. F inally, the eff iciency of th is algo rithm is demon st rated via compu ter sim u2
lat ion.
Key words: data fu sion, data regist rat ion. m ax im um likelihood regist rat ion algo rithm , sim u lat ion analy2 sis.
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