TY - GEN
T1 - Cognitive detector
T2 - Proceedings of 2008 3rd International Conference on Intelligent System and Knowledge Engineering, ISKE 2008
AU - Yang, Li
AU - Ning, Zhang
AU - Qiang, Yang
PY - 2008
Y1 - 2008
N2 - A new target detection architecture, designated as cognitive detector, is proposed. This method aims at solving the problems arising from simultaneous detecting and tracking targets in various nonstationary and time-variant clutter environment. Image character of detection background and the scene analysis result, which is the information that hasn 't been exploited in any existing integrated detection and tracking system, can help adjust the detection algorithm adapting for the various background and add more information about the target/clutter for data association or tracking to enhance the system's performance. Cognitive detector partitions the radar detection scene using the statistical and image character of the detection background. Then, multipolicy detection algorithm and detection oriented data association method operate based on the former output. At last, feedback structure between detection and tracking algorithm is used to optimize the detection policy. As describing the definition of cognitive detection and its operation processes, the paper focuses on the specific application of high frequency surface wave radar, for which the cognitive detector is rather well suitable.
AB - A new target detection architecture, designated as cognitive detector, is proposed. This method aims at solving the problems arising from simultaneous detecting and tracking targets in various nonstationary and time-variant clutter environment. Image character of detection background and the scene analysis result, which is the information that hasn 't been exploited in any existing integrated detection and tracking system, can help adjust the detection algorithm adapting for the various background and add more information about the target/clutter for data association or tracking to enhance the system's performance. Cognitive detector partitions the radar detection scene using the statistical and image character of the detection background. Then, multipolicy detection algorithm and detection oriented data association method operate based on the former output. At last, feedback structure between detection and tracking algorithm is used to optimize the detection policy. As describing the definition of cognitive detection and its operation processes, the paper focuses on the specific application of high frequency surface wave radar, for which the cognitive detector is rather well suitable.
UR - https://www.scopus.com/pages/publications/60349106646
U2 - 10.1109/ISKE.2008.4731017
DO - 10.1109/ISKE.2008.4731017
M3 - 会议稿件
AN - SCOPUS:60349106646
SN - 9781424421978
T3 - Proceedings of 2008 3rd International Conference on Intelligent System and Knowledge Engineering, ISKE 2008
SP - 685
EP - 688
BT - Proceedings of 2008 3rd International Conference on Intelligent System and Knowledge Engineering, ISKE 2008
Y2 - 17 November 2008 through 19 November 2008
ER -