摘要
提出多模式贝叶斯准则下的概率数据关联滤波新概念,并将该方法与基于匹配场一长项积分混合处理相结 合,建立了基于Bayes框架的检测跟踪一体化算法,通过时间域的连续递归和空间域的数据关联,较好地实现了对机动目 标的被动定位和跟踪。
This paper proposed a new conception of the interactive multiple model algorithm combined with the probabilistic data association fitter under the Bayesian criterion known as IMMPDAF-BDAI. Then it is again combined with the co-processing algorithm of Matched-Field and Long Time Integration and an algorithm of integration of detection with target tracking based on the Bayesian frame is established. Though the continuous recursion in the temporal field and the data association in the spatial field, the passive location and tracking of a maneuvering target can be well realized.
出处
《信号处理》
CSCD
北大核心
2005年第1期52-56,共5页
Journal of Signal Processing
关键词
信号处理
匹配场
长项积分
混合处理
一体化
多模式检测
信噪比
matched-field processing
long time integration
interacting multiple mode
detection and tracking
integratio
