论文信息 - Distributed Tracking in Distributed Sensor Networks

Distributed Tracking in Distributed Sensor Networks

A distributed sensor network (DSN) consists of a set of processing nodes collecting data from sensors. When the nodes communicate, each node fuses the information received from other nodes with the local information to update its estimate on the state of the world. Previous papers have dealt with the theoretic algorithms for tracking multiple targets using a DSN. This paper considers the processing functions performed by each DSN node and presents some simulation results on tracking vehicles moving over a road network.

Chee-Yee Chong | Shozo Mori | K. C. Chang

[1] C. Chang,et al. Measurement correlation for multiple sensor tracking in a dense target environment , 1981, 1981 20th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes.

[2] Yaakov Bar-Shalom,et al. Track Segment Association with a Distributed Field of Sensors , 1984 .

[3] Robert R. Tenney,et al. A distributed aeroacoustic tracking algorithm , 1984 .

[4] C. Morefield. Application of 0-1 integer programming to multitarget tracking problems , 1977 .

[5] S. Mori,et al. Tracking and classifying multiple targets without a priori identification , 1986 .

[6] Chee-Yee Chong,et al. Information Fusion in Distributed Sensor Networks , 1985 .

[7] Yaakov Bar-Shalom,et al. Joint Probabilistic Data Association in Distributed Sensor Networks , 1985 .

[8] Y. Bar-Shalom. On the track-to-track correlation problem , 1981 .

[9] Donald Reid. An algorithm for tracking multiple targets , 1978 .

[10] E. Tse,et al. Distributed Estimation in Distributed Sensor Networks , 1982, 1982 American Control Conference.

[11] Yaakov Bar-Shalom,et al. Tracking methods in a multitarget environment , 1978 .