Extended Target Tracking Using Star-Convex Model with Nonlinear Inequality Constraints

摘要：

Due to the increased resolution capability of modern sensors, the assumption that the received measurement originated from a point source may be invalid. Thus extended target tracking becomes more and more important in many practical scenarios. A novel extended target model has been proposed that describes the target approximately using a star-convex shape. Although the star-convex model can model a wide spectrum of shapes, the estimation results will be unpredictable without imposing constraints. This paper attempts to solve this problem by introducing a modified star-convex model with two proposed constraints. Simulation results demonstrate the effectiveness of the proposed tracking algorithms.

关键词： Extended Target Tracking Modified Star-Convex Model Nonlinear Inequality Constraints State Estimation

作者: Lifan Sun Jian Lan X. Rong Li

作者单位: Center for Information Engineering Science Research (CIESR), School of Electronics and Information E Center for Information Engineering Science Research (CIESR), School of Electronics and Information E Department of Electrical Engineering, University of New Orleans,New Orleans, LA 70148, U.S.A.

会议类型: 国际会议

会议名称: The 31st Chinese Control Conference(第三十一届中国控制会议)

会议地点: 合肥

会议语种:英文

页码: 3869-3874

在线出版日期: 2012-07-01（万方平台首次上网日期，不代表论文的发表时间）