Electronics Optics & Control, Volume. 32, Issue 3, 7(2025)
Performance Analysis of Collaborative Tracking Based on Bernoulli Filter and K-Rank Fusion
[1] [1] YAN J K,JIAO H,PU W Q,et al. Radar sensor network resource allocation for fused target tracking: a brief review [J]. Information Fusion,2022,86-87: 104-115.
[2] [2] LI G C,BATTISTELLI G,YI W,et al. Distributed multi-sensor multi-view fusion based on generalized covariance intersection [J]. Signal Processing,2020,166:107246.
[3] [3] TEMENE N,SERGIOU C,GEORGIOU C,et al. A survey on mobility in wireless sensor networks [J]. Ad Hoc Networks,2022,125:102726.
[4] [4] LUO J H,WANG Z Y,CHEN Y P,et al. An improved unscented particle filter approach for multi-sensor fusion target tracking [J]. Sensors,2020,20(23):6842.
[5] [5] WANG Y J. Multi-sensor fusion tracking algorithm based on augmented reality system [J]. IEEE Sensors Journal,2021,21(22):25010-25017.
[6] [6] PRABHAKAR S,JAIN A K. Decision-level fusion in fingerprint verification [J]. Pattern Recognition,2002,35(4):861-874.
[7] [7] NAZARI M,PASHAZADEH S,MOHAMMAD-KHANLI L. An adaptive density-based fuzzy clustering track association for distributed tracking system [J]. IEEE Access,2019,7:135972-135981.
[8] [8] DASH D,JAYARAMAN V. A probabilistic model for sensor fusion using range-only measurements in multistatic radar [J]. IEEE Sensors Letters,2020,4(6):1-4.
[9] [9] SHARMA A,CHAUHAN S. Sensor fusion for distributed detection of mobile intruders in surveillance wireless sensor networks [J]. IEEE Sensors Journal,2020,20(24):15224-15231.
[10] [10] HU J W,ZHENG B Y,WANG C,et al. A survey on multi-sensor fusion based obstacle detection for intelligent ground vehicles in off-road environments [J]. Frontiers of Information Technology & Electronic Engineering,2020,21(5):675-692.
[13] [13] CHEN J L,XU X Q,ZHANG J C,et al. Ship target detection algorithm based on decision-level fusion of visible and SAR images [J]. IEEE Journal on Miniaturization for Air and Space Systems,2023,4(3):242-249.
[17] [17] YI W,LI G C,BATTISTELLI G. Distributed multi-sensor fusion of PHD filters with different sensor fields of view [J]. IEEE Transactions on Signal Processing,2020,68:5204-5218.
[18] [18] LIU L,JI H,ZHANG W B,et al. Multi-sensor fusion for multi-target tracking using measurement division [J]. IET Radar,Sonar & Navigation,2020,14(9):1451-1461.
[19] [19] LI T C,WANG X X,LIANG Y,et al. On arithmetic average fusion and its application for distributed multi-bernoulli multitarget tracking [J]. IEEE Transactions on Signal Processing,2020,68:2883-2896.
[20] [20] LI T C,CORCHADO J M,SUN S D. Partial consensus and conservative fusion of Gaussian mixtures for distributed PHD fusion [J]. IEEE Transactions on Aerospace and Electronic Systems,2019,55(5):2150-2163.
[21] [21] UHLMANN J K. General data fusion for estimates with unknown cross covariances [C]//KADAR I,LIBBY V. Aerospace/Defense Sensing and Controls. Orlando:[s.n.],1996:536-547.
[22] [22] HURLEY M B. An information theoretic justification for covariance intersection and its generalization [C]//Proceedings of the Fifth International Conference on Information Fusion. Annapolis: IEEE,2002: 505-511.
[23] [23] LI T C,FAN H Q,GARCA J,et al. Second-order statistics analysis and comparison between arithmetic and geometric average fusion: application to multi-sensor target tracking [J]. Information Fusion,2019,51: 233-243.
[24] [24] LI S Q,YI W,HOSEINNEZHAD R,et al. Robust distributed fusion with labeled random finite sets [J]. IEEE Transactions on Signal Processing,2018,66(2):278-293.
[25] [25] LI T C,HLAWATSCH F. A distributed particle-PHD filter using arithmetic-average fusion of Gaussian mixture parameters [J]. Information Fusion,2021,73(C):111-124.
[26] [26] GAO L,BATTISTELLI G,CHISCI L. Fusion of labeled RFS densities with minimum information loss [J]. IEEE Transactions on Signal Processing,2020,68:5855-5868.
[27] [27] DA K,LI T C,ZHU Y F,et al. Kullback-Leibler averaging for multitarget density fusion [C]//Distributed Computing and Artificial Intelligence,16th International Conference. Cham: Springer International Publishing,2020: 253-261.
[28] [28] YI W,JIANG M,LI S Q,et al. Distributed sensor fusion for RFS density with consideration of limited sensing ability [C]//2017 20th International Conference on Information Fusion. Xi’an: IEEE,2017: 1-6.
[30] [30] RISTIC B,BEARD M,FANTACCI C. An overview of particle methods for random finite set models [J]. Information Fusion,2016,31:110-126.
[31] [31] CRISAN D,MGUEZ J,ROS-MUOZ G. On the performance of parallelisation schemes for particle filtering [J]. EURASIP Journal on Advances in Signal Processing,2018,2018(1):31.
[32] [32] GUNES A,GULDOGAN M B. Joint underwater target detection and tracking with the Bernoulli filter using an acoustic vector sensor [J]. Digital Signal Processing,2016,48:246-258.
[33] [33] VO B T,SEE C M,MA N,et al. Multi-sensor joint detection and tracking with the Bernoulli filter [J]. IEEE Transactions on Aerospace and Electronic Systems,2012,48(2):1385-1402.
[34] [34] GUPTA K,MERCHANT S N,DESAI U B. Inherence of hard decision fusion in soft decision fusion and a generalized Radix-2 multistage decision fusion strategy [J]. IEEE Access,2018,6:55701-55711.
[35] [35] PARK C H,CHANG J H. Closed-form localization for distributed MIMO radar systems using time delay measurements [J]. IEEE Transactions on Wireless Communications,2016,15(2):1480-1490.
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WU Junqing, WANG Fei, ZHOU Jianjiang, HAN Qinghua. Performance Analysis of Collaborative Tracking Based on Bernoulli Filter and K-Rank Fusion[J]. Electronics Optics & Control, 2025, 32(3): 7
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Received: Dec. 28, 2023
Accepted: Mar. 21, 2025
Published Online: Mar. 21, 2025
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