自动化学报2016，Vol.42Issue(4)：512-523,12.DOI:10.16383/j.aas.2016.c150529
机动多目标跟踪中的传感器控制策略的研究
Sensor Control Strategy for Maneuvering Multi-target Tracking
摘要
Abstract
In consideration of the sensor control problem for maneuvering multi-target tracking, this paper proposes an information theory based control policy using multi-model multi-Bernoulli filter. First, a sensor control approach is presented in the information theory framework based on random finite set. Then, the sequential Monte Carlo implemen-tation of multi-model cardinality balanced multi-target multi-Bernoulli filter is formulated. Moreover, this paper proposes a target-oriented multi-Bernoulli particle sampling method to approximate multi-target probability density. And the final control policy based on Bhattacharyya distance is solved through this sampling method. Finally, simulation results show the effectiveness of the proposed sensor control approach applied to a typical maneuvering multi-target tracking problem.关键词
传感器控制/机动多目标/目标导向/随机有限集Key words
Sensor control/maneuvering multi-targets/target-oriented/random finite set (RFS)引用本文复制引用
陈辉,韩崇昭..机动多目标跟踪中的传感器控制策略的研究[J].自动化学报,2016,42(4):512-523,12.基金项目
国家自然科学基金(61370037,61005026),甘肃省自然科学基金(1506RJZA090),甘肃省高等学校科研项目(2014A-035)资助Supported by National Natural Science Foundation of China (61370037,61005026), Natural Science Foundation of Gansu Province (1506RJZA090), and Foundation of Higher Education of Gansu Province (2014A-035) （61370037,61005026）
