基于组合优化的多传感器多目标数据互联
MULTISENSOR DATA ASSOCIATION APPROACH BASED UPON COMBINATORIAL OPTIMIZATION
-
摘要: 对于由雷达和红外组成的多目标跟踪系统,通过建立多传感器的多重观测表达,将其中的多传感器多目标数据互联表述为多重观测数据集之间的最优组合分配,从而实现了这两种类型不同传感器融合跟踪过程中的多目标互联求解。Abstract: For a tracking system consisting of heterogeneous sensors such as radar and IRST, the combinatorial assignment is applied to solve the multitarget data association which is formulated as a partition of the multiple dimension data set including the measurements and predicted tracks from targets.
-
Farina A, Studer F A, Radar data processing, Vo1.2. New York: John Wiley and Sons, 1988.[2]Coleman J O. Discriminats for assigning passive bearing observations to radar targets. Proc. of 1988 IEEE Int Radar Conf. Washington D. C. USA: 1988, 361-355.[3]Pattipati K R, et al. A new relaxation algorithm and passive sensor data assciation problem. IEEE Trans.on AC, 1992, AC-37(2): 198-213.[4]Kurien T. Issues in the design of practical multitarget tracking algorithms. in: Bar-Shalom Y, eds. Multitarget-multisensor tracking: advanced applications, NorwAod, MA: Artech, 1990.[5]Fortmann T E, Bar-Shalom Y, Scheffe M. Sonar tracking of multiple target using joint probabilistic[6]data association. IEEE J. of Oceanic Engineering, 1983, OE-8(7): 173-I84.[7]Fitzgerald R J. Tack biases and coalescence with probabilistic data association. IEEE Trans. on AES, 1993, AES-21(3): 822-825.
计量
- 文章访问数: 2140
- HTML全文浏览量: 112
- PDF下载量: 435
- 被引次数: 0