摘要
隐M arkov模型是一种用于语音识别比较成功的统计模型,战场侦察的多目标识别是战场侦察技术传感器走向实用的关键技术之一,对传统的隐M arkov模型的结构和分类器进行了改进,使其初步可以实现由背景噪声环境下的多种类目标的识别。
Hide Markov Model is a static model successful used in voice recognition. It is the multi -target recognition of the battlefield reconnaissance that is the one of the key technology to be practicality. The traditional structure and sorter of the Hide Markov Model are improved, which makes the multi - sort classification in the noise background implemented.
出处
《探测与控制学报》
CSCD
北大核心
2006年第4期58-60,64,共4页
Journal of Detection & Control
关键词
HMM模型
战场侦察
多目标识别
HMM(Hide Markov Model)
battlefield reconnaissance system
multiple- target recognition