A NOVEL MULTI-BERNOULLI FILTER FOR JOINT TARGET DETECTION AND TRACKING

摘要：

　　Aiming at the detecting and tracking of the moving dim targets from image observations with low signal-to-noise ratio(SNR),this paper puts forward a new track-before-detect algorithm based on Gaussian particle filter implementation of Multi- Bernoulli filter (GPF-MB-TBD).GPF-MB-TBD can greatly reduce the requirement for storing,and improve the performance of tracking than the sequential Monte Carlo implementation of Multi-Bernoulli filter(SMC-MB-TBD).Simulation results show that this novel algorithm is suitable for detection and tracking multiple targets from image observations.

关键词： Multi-Bernoulli Filter Gaussian Particle Filter Random Finite sets Track-before-detect

作者: Cuiyun Li Hongbing Ji Qibing Zou Sujun Wang

作者单位: School of Electronic Engineering,Xidian University,Xian 710071,P. R. China

会议类型: 国际会议

会议名称: 2013IET International Conference on Information and Communication Technologies(IETICT2013)2013IET信息与通信技术国际会议

会议地点: 北京

会议语种:英文

页码: 145-149

在线出版日期: 2013-04-27（万方平台首次上网日期，不代表论文的发表时间）