TY - JOUR
T1 - Study on algorithm of sensor management based on functions of efficiency and waste
AU - Liu, Xian Xing
AU - Pan, Quan
AU - Zhang, Hong Cai
AU - Dai, Guan Zhong
PY - 2000/2
Y1 - 2000/2
N2 - Sensor management plays an important role in data fusion system, and this paper presents an algorithm of sensor management that can be used in target detection, identification and tracking. First, the basic concept, rule, range and function of sensor management are introduced. Then, the quantifying problems of target priority and sensor (or combination)-target pairing in multisensor management are discussed and the efficiency and waste functions are established based on the functions of target priority and sensor-target pairing. On this basis, a distribution algorithm of multi-sensor resources is given, which is optimized by the principle of maximum synthesis efficiency in the multisensor system and constrained by sensor maximum tracking power and what target must be scanned. In addition, the waste measure of sensor resources is introduced to improve the algorithm. Finally, a tactical task that includes three sensors and ten targets is set, and the simulation results show that the algorithm is feasible and effective.
AB - Sensor management plays an important role in data fusion system, and this paper presents an algorithm of sensor management that can be used in target detection, identification and tracking. First, the basic concept, rule, range and function of sensor management are introduced. Then, the quantifying problems of target priority and sensor (or combination)-target pairing in multisensor management are discussed and the efficiency and waste functions are established based on the functions of target priority and sensor-target pairing. On this basis, a distribution algorithm of multi-sensor resources is given, which is optimized by the principle of maximum synthesis efficiency in the multisensor system and constrained by sensor maximum tracking power and what target must be scanned. In addition, the waste measure of sensor resources is introduced to improve the algorithm. Finally, a tactical task that includes three sensors and ten targets is set, and the simulation results show that the algorithm is feasible and effective.
UR - http://www.scopus.com/inward/record.url?scp=0033897202&partnerID=8YFLogxK
M3 - 文章
AN - SCOPUS:0033897202
SN - 1000-9361
VL - 13
SP - 39
EP - 44
JO - Chinese Journal of Aeronautics
JF - Chinese Journal of Aeronautics
IS - 1
ER -