综合位置和属性信息的阵群成员观测匹配算法

张昌芳; 杨宏文; 胡卫东; 郁文贤

doi:10.3724/SP.J.1146.2008.01217

综合位置和属性信息的阵群成员观测匹配算法

doi: 10.3724/SP.J.1146.2008.01217

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出版历程
- 收稿日期: 2008-09-25
- 修回日期: 2009-03-23
- 刊出日期: 2009-08-19

A Group Member Matching Algorithm Synthesized Position and Attribute Information

摘要

摘要: 在位置观测噪声幅度较大、传感器识别性能较差或者目标属性不唯一等情况下，单独依靠位置或属性观测难以实现有效的阵群成员匹配。为此，该文提出了一种综合位置和属性信息的阵群成员观测匹配算法。构造了基于位置观测和属性观测的匹配信度函数，定义了一种新的信度组合规则来对上述两类匹配信度进行组合，并提出了一种新的匹配判决思想基于观测序列截断的匹配判决。仿真实验证实了文中算法的有效性。
- 目标识别;匹配信度函数;信度综合;匹配度量;匹配判决
Abstract: It is difficult to get effective group member matching by their position or attribute measurement separately when the sensors position measurement noise level is high and their identification performance is relatively poor or the members types are not exclusive. So a matching algorithm for group members measurement is given which synthesizes their position and attribute information. The matching belief functions related to the position and attribute measurement respectively are constructed which are further combined with a newly defined combination rule. Besides, a new matching decision idea is proposed which is based on the truncation of the measurement sequence. Simulation experiments validate the effectiveness of the proposed algorithm.

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