Non-myopic scheduling algorithm for multi-sensor collaborative detection and tracking
(2.College of Joint Service, National Defense University, Beijing 100858)
(3.Unit 63870 of PLA, Huayin 714200)
【Abstract】In consideration of the radiation control for target detection and tracking, a non-myopic scheduling algorithm for multi-sensor collaborative detection and tracking is proposed. Firstly, the model of target tracking and radiation control is formulated as a partially observable Markov decision process (POMDP). Then, the detection probability of the new target is calculated by the randomly distributed particles; the non-myopic tracking accuracy is predicted by the posterior Carmér-Rao lower bound (PCRLB); the non-myopic radiation cost is derived by the hidden Markov model (HMM) filter. Finally, the non-myopic optimization function of radiation control constrained by the detection probability of the new target and the tracking accuracy of the existing target is set up. The optimal scheduling sequence is obtained by the branch and bound algorithm based on a greedy search. Simulation results verify the effectiveness of the proposed algorithm.
【Keywords】 sensor scheduling; collaborative detection and tracking; POMDP; branch and bound; PCRLB;
 Wu W H, Jiang J, Gao L. Tracking maneuvering target in clutter with passive sensor aided by airborne radar [J]. Control and Decision, 2015, 30 (2): 277–282 (in Chinese).
 Dai C L, Shi C G, Zhou J J, et al. Adaptive radiation control algorithm with passive sensor cooperation in airborne radar system [J]. Journal of Data Acquisition and processing, 2016, 31 (4): 746–753 (in Chinese).
 Wu W, Wang G H, Shuang W, et al. Multi-airborne-platform multi-target tracking and radiation control technology [J]. Systems Engineering and Electronics, 2012, 34 (3): 495–501 (in Chinese).
 Zhang Z, Shan G. UTS based foresight optimization of sensor scheduling for low interception risk tracking [J]. International Journal of Adaptive Control and SignalProcessing, 2014, 28 (10): 921–931.
 Zhang Z, Shan G. Non-myopic sensor scheduling to track multiple reactive targets [J]. IET Signal Processing, 2015,9 (1): 37–47.
 QiaoCL, ShanGL, DuanXS, et al. Scheduling algorithm of active sensors for tracking task requirement [J]. systems engineering and Electronics, 2017, 39 (11): 2515–2521 (in Chinese).
 Krishnamurthy V. Emission management for low probability intercept sensors in network centric warfare [J]. IEEE Transactions on Aerospace and Electronic Systems, 2005, 41 (1): 133–151.
 Tharmarasa R, Kirubarajan T, Hernandez M, et al. PCRLB-based multisensory array management for multitarget tracking [J]. IEEE Transactions on Aerospace and Electronic Systems, 2007, 43 (2): 539–555.
 Tharmarasa R, Kirubarajan T, Sinha A, et al. Decentralized sensor selection for large-scale multisensory-multitarget tracking [J]. IEEE Transactions on Aerospace & Electronic Systems, 2011, 47 (2):1307–1324.
 Liu Q, Liu Z, Xie R. Collaborative detection and tracking of stealthy target by netted radar [J]. Journal of Electronics & Information Technology, 2013, 35 (3): 601–607 (in Chinese).
 Song H, Xiao M, Xiao J, et al. A POMDP approach for scheduling the usage of airborne electronic countermeasures in air operations [J]. Aerospace Science and Technology, 2016, 48 (1): 86–93.
 El Fallah A, Zatezalo A, Mahler R, et al. Unified Bayesian situation assessment sensor management [J]. Signal Processing, Sensor Fusion, and Target Recognition XIV, 2005, 5809 (5): 253–265.
 Li Y, Krakow L W, Chong E K P, et al. Approximatestochastic dynamic programming for sensor scheduling to track multiple targets [J]. Digital Signal Processing, 2009, 19 (6): 978–989.
 Keshavarz M, Khaloozadeh H. Interacting multiple model and sensor selection algorithms for manoeuvring target tracking in wireless sensor networks with multiplicative noise [J]. International Journal of Systems Science, 2017, 48 (5): 899–908.
 Huber M F. Optimal pruning for multi-step sensor scheduling [J]. IEEE Transactions on Automatic Control, 2012, 57 (5): 1338–1343.
 Chhetri A S, Morrell D, Papandreou-SuppappolaA. Nonmyopic sensor scheduling and its efficient implementation for target tracking applications [J]. EURASIP Journal on Applied Signal Processing, 2006 (1): 1–18.
 Qiao C L, Duan X S, Shan G L. Scheduling algorithm for multi-sensor collaboration tracking and radiation control [J]. Journal of Beijing University of Aeronautics and Astronautics, 2018, 44 (7): 1472–1480 (in Chinese).