In order to solve the uncertainty of covariance and the unreasonable setting of expectation threshold in traditional cooperative tracking algorithm, it is easy to cause frequent switching of radar. At the same time, the existing sensor management is carried out under the same tracking accuracy, which does not meet the needs of the actual battlefield environment. Therefore, this paper divides the tracking accuracy of tracking target, defines the cooperative index of covariance and information increment cooperative management, improves the discriminant threshold of sensor switch, saves more sensor resources while solving the above problems, and improves the combat and survivability of aircraft.
WangJ.Y.HeG.J. and ZhuF.J., Algorithm of multisensor management based on linear gauss filtering, Journal of Detection and Control31(5) (2009), 38–41.
2.
TianK.S. and ZhuG.X., Sensor management for target tracking, Journal of Transducer Technology22(3) (2003), 27–29.
3.
YangY.S. et al., The study on air-borne multi-sensor synergy tracking and radiation control, Journal of Projectiles,Rockets,Missiles and Guidance31(1) (2011), 153–156.
4.
WuW. and LiS.Z., Research on radar and irst synergistic tracking with radar intermittent assistant, Fire Control and Command Control37(1) (2012), 155–158.
5.
WuW.WangG.H.LiuY. et al., Airborne radar/IRST/SEM synergistic tracking and management, System Engineering and Electronics33(7) (2011), 1517–1522.
6.
YangL., Research on Heterogeneous Multi-sensor Collaborative Tracking Technique Based-on Renyi Information Gain, Southwest Jiaotong University, 2017.
7.
LiQ., Research and Study of airborne multi-sensor management algorithm, Northwestern Polytechnical University, 2005.
8.
SehmaedekeW. and KastellaK., Information based sensor management and IMMKF, Proceedings of SPIE3373 (1998), 390–401.
9.
JasonM.A. and BrianR.L.C., Metric selection for information theoretic sensor management information fusion, The 11th International Conference on Digital Object Identifier, 2008, pp. 1–8.
10.
JiangP.Q., Research on Sensor Management Algorithm for Maneuvering Target Tracking, Northwestern Polytechnical University, 2006.
11.
LiuX.X.ShenS.L.PanQ. et al., An algorithm of sensor management based on information entropy, Acta Electronica Sinica28(9) (2000), 39–41.
12.
CuiB., Research on key technology of multi-sensor target tracking data fusion, Southwest Jiaotong University, 2012.
