Systems Engineering and Electronics ›› 2024, Vol. 46 ›› Issue (4): 1212-1219.doi: 10.12305/j.issn.1001-506X.2024.04.09
• Sensors and Signal Processing • Previous Articles Next Articles
Meibin QI1, Shuo ZHUANG1,*, Jingjing HU1, Yanfang YANG2, Yuankui HU3
Received:
2022-09-18
Online:
2024-03-25
Published:
2024-03-25
Contact:
Shuo ZHUANG
CLC Number:
Meibin QI, Shuo ZHUANG, Jingjing HU, Yanfang YANG, Yuankui HU. Resolvable group target tracking based on joint GLMB filter[J]. Systems Engineering and Electronics, 2024, 46(4): 1212-1219.
Table 1
Supergraph generation"
G | G′ |
Table 2
Starting and ending time and initial state of each target movement"
目标 | 起始时刻/s | 结束时刻/s | 目标初始状态 |
1 | 1 | 100 | [0 m, 10 m/s, 500 m, 6 m/s]T |
2 | 1 | 100 | [-1 000 m, 0 m/s, 300 m, 10 m/s]T |
3 | 1 | 100 | [-1 040 m, 0 m/s, 300 m, 10 m/s]T |
4 | 1 | 100 | [-1 020 m, 0 m/s, 340 m, 10 m/s]T |
5 | 1 | 80 | [-170 m, -10 m/s, 1 980 m, 0 m/s]T |
6 | 1 | 80 | [-170 m, -10 m/s, 2 020 m, 0 m/s]T |
7 | 1 | 80 | [-200 m, -10 m/s, 2 000 m, 0 m/s]T |
8 | 1 | 80 | [-170 m, -10 m/s, 2 060 m, 0 m/s]T |
9 | 21 | 100 | [300 m, 10 m/s, 2 000 m, 0 m/s]T |
10 | 21 | 100 | [330 m, 10 m/s, 1 970 m, 0 m/s]T |
11 | 21 | 100 | [300 m, 10 m/s, 1 740 m, 10 m/s]T |
1 | SINGER R A, STEIN J J. An optimal tracking filter for processing sensor data of imprecisely determined origin in surveillance systems[C]//Proc. of the IEEE Conference on Decision and Control, 1971: 171-175. |
2 | FORTMANN T E, BAR SHALOM Y, SCHEFFE M. Multi-target tracking using joint probabilistic data association[C]//Proc. of the IEEE 19th Conference on Decision and Control including the Symposium on Adaptive Processes, 1980: 807-812. |
3 | REID D . An algorithm for tracking multiple targets[J]. IEEE Trans.on Automatics Control, 1979, 24 (6): 1202- 1211. |
4 |
ZHAO S J , WANG Y , WANG P Y , et al. Adaptive non-linear joint probabilistic data association for vehicle target tracking[J]. IEEE Access, 2021, 9, 14138- 14147.
doi: 10.1109/ACCESS.2021.3052555 |
5 | MAHLER R P . Statistical multisource-multitarget information fusion[M]. London: Artech House, 2007: 685- 686. |
6 | DA K , LI T C , ZHU Y F , et al. Recent advances in multisensor multitarget tracking using random finite set[J]. Frontiers of Information Technology & Electronic Engineering, 2021, 22 (1): 5- 24. |
7 |
MAHLER R . PHD filters of higher order in target number[J]. IEEE Trans.on Aerospace and Electronic Systems, 2007, 43 (4): 1523- 1543.
doi: 10.1109/TAES.2007.4441756 |
8 | ORGUNER U, LUNDQUIST C, GRANSTRÖM K. Extended target tracking with a cardinalized probability hypothesis density filter[C]//Proc. of the 14th International Conference on Information Fusion, 2011. |
9 | BEARD M, REUTER S, GRANSTRÖM K, et al. A generalised labelled multi-Bernoulli filter for extended multi-target tracking[C]//Proc. of the 18th International Conference on Information Fusion, 2015: 991-998. |
10 |
GNING A , MIHAYLOVA L , MASKELL S , et al. Group object structure and state estimation with evolving networks and Monte Carlo methods[J]. IEEE Trans.on Signal Processing, 2011, 59 (4): 1383- 1396.
doi: 10.1109/TSP.2010.2103062 |
11 | ZHU S J, LIU W F, WENG C L, et al. Multiple group targets tracking using the generalized labeled multi-Bernoulli filter[C]//Proc. of the 35th Chinese Control Conference, 2016: 4871-4876. |
12 |
LIU W F , ZHU S J , WEN C L , et al. Structure modeling and estimation of multiple resolvable group targets via graph theory and multi-Bernoulli filter[J]. Automatica, 2018, 89, 274- 289.
doi: 10.1016/j.automatica.2017.12.004 |
13 |
LIU W , CHI Y . Resolvable group state estimation with maneuver based on labeled RFS and graph theory[J]. Sensors, 2019, 19 (6): 1307.
doi: 10.3390/s19061307 |
14 | VO B N , VO B T , HOANG H G . An efficient implementation of the generalized labeled multi-Bernoulli filter[J]. IEEE Trans.on Signal Processing, 2016, 65 (8): 1975- 1987. |
15 | HOANG H G, VO B T, VO B N. A fast implementation of the generalized labeled multi-Bernoulli filter with joint prediction and update[C]//Proc. of the 18th International Conference on Information Fusion, 2015: 999-1006. |
16 | 陈辉, 杜金瑞, 韩崇昭. 基于星凸形随机超曲面模型多扩展目标多伯努利滤波器[J]. 自动化学报, 2020, 46 (5): 909- 922. |
CHEN H , DU J R , HAN C Z . A multiple extended target multi-Bernouli filter based on star-convex random hypersurface model[J]. Acta Automatica Sinica, 2020, 46 (5): 909- 922. | |
17 |
DO C T , NGUYEN T T D , VAN NGUYEN H . Robust multi-sensor generalized labeled multi-Bernoulli filter[J]. Signal Processing, 2022, 192, 108368.
doi: 10.1016/j.sigpro.2021.108368 |
18 | ZASS R, SHASHUA A. Probabilistic graph and hypergraph matching[C]//Proc. of the IEEE Conference on Computer Vision and Pattern Recognition, 2008. |
19 |
NAWAZ M , KHAN S , QURESHI R , et al. Clustering based one-to-one hypergraph matching with a large number of feature points[J]. Signal Processing: Image Communication, 2019, 74, 289- 298.
doi: 10.1016/j.image.2019.01.001 |
20 | WU S G, XIAO J J. Tracking group targets using hypergraph matching in data association[C]//Proc. of the Conference on Signal and Data Processing of Small Targets, 2011: 81370. |
21 | YU H Y , AN W , ZHU R , et al. A hypergraph matching labeled multi-Bernoulli filter for group targets tracking[J]. IEEE Trans.on Information and Systems, 2019, 102 (10): 2077- 2081. |
22 | 迟玉东. 面向群目标运动建模与跟踪的随机有限集方法[D]. 杭州: 杭州电子科技大学, 2020. |
CHI Y D. Random finite set method for group target motion modeling and tracking[D]. Hangzhou: Hangzhou Dianzi University, 2020. | |
23 |
ZHANG Z G , SUN J P , ZHOU H Y , et al. Group target tracking based on MS-member filters[J]. Remote Sensing, 2021, 13 (10): 1920.
doi: 10.3390/rs13101920 |
24 |
SCHUHMACHER D , VO B T , VO B N . A consistent metric for performance evaluation of multi object filters[J]. IEEE Trans.on Signal Processing, 2008, 56 (8): 3447- 3457.
doi: 10.1109/TSP.2008.920469 |
25 |
GAO L , BATTISTELLI G , CHISCI L , et al. Fusion-based multidetection multitarget tracking with random finite sets[J]. IEEE Trans.on Aerospace and Electronic Systems, 2021, 57 (4): 2438- 2458.
doi: 10.1109/TAES.2021.3059093 |
26 |
VO B T , VO B N . Labeled random finite sets and multi-object conjugate priors[J]. IEEE Trans.on Signal Processing, 2013, 61 (13): 3460- 3475.
doi: 10.1109/TSP.2013.2259822 |
27 |
VO B N , VO B T . A multi-scan labeled random finite set model for multi-object state estimation[J]. IEEE Trans.on Signal Processing, 2019, 67 (19): 4948- 4963.
doi: 10.1109/TSP.2019.2928953 |
28 |
KIM D Y , VO B N , VO B T , et al. A labeled random finite set online multi-object tracker for video data[J]. Pattern Recognition, 2019, 90, 377- 389.
doi: 10.1016/j.patcog.2019.02.004 |
29 | GOSTAR A K , RATHNAYAKE T , TENNAKOON R , et al. Centralized cooperative sensor fusion for dynamic sensor network with limited field-of-view via labeled multi-Bernoulli filter[J]. IEEE Trans.on Signal Processing, 2020, 69, 878- 891. |
30 |
NGUYEN T T D , KIM D Y . GLMB tracker with partial smoothing[J]. Sensors, 2019, 19 (20): 4419.
doi: 10.3390/s19204419 |
31 |
LIANG G L , LI Q R , QI B , et al. Multitarget tracking using one time step lagged delta-generalized labeled multi-Bernoulli smoothing[J]. IEEE Access, 2020, 8, 28242- 28256.
doi: 10.1109/ACCESS.2020.2971624 |
[1] | Shuya ZENG, Bin RAO. Ballistic target association method based on dynamic conservation law [J]. Systems Engineering and Electronics, 2024, 46(2): 684-691. |
[2] | Wenhao BI, Jie ZHOU, An ZHANG, Li LIU. JPDA algorithm based on maximum entropy fuzzy clustering in clutter environment [J]. Systems Engineering and Electronics, 2023, 45(7): 1920-1927. |
[3] | Zhengwei LIU, Ying CHEN, Yaobing LU. PHD filter for small-angle crossing of multi-target trajectories [J]. Systems Engineering and Electronics, 2023, 45(4): 982-990. |
[4] | Lei AN, Zhaorui LI, Bing JI. Non-myopic scheduling method for mobile active/passive sensor in clutter environment [J]. Systems Engineering and Electronics, 2023, 45(1): 165-174. |
[5] | Zizhuang SONG, Jiawei YANG, Dongfang ZHANG, Shiqiang WANG, Shuo ZHANG. Real-time infrared multi-class multi-target anchor-free tracking network [J]. Systems Engineering and Electronics, 2022, 44(2): 401-409. |
[6] | Lifan YIN, Yiqun ZHANG, Shuo WANG, Chenggang SUN. A survey on histogram probabilistic multi-hypothesis tracker technique [J]. Systems Engineering and Electronics, 2021, 43(11): 3118-3125. |
[7] | Zhengjie LI, Junwei XIE, Haowei ZHANG, Zhaojian ZHANG. Joint power and bandwidth allocation algorithm based on collocated MIMO radar [J]. Systems Engineering and Electronics, 2020, 42(5): 1041-1049. |
[8] | Xiaodong LU, Tao CUI, Wei WANG, Cheng CHENG. Multi-target labeled multi-Bernoulli filter with time-delay and registration errors [J]. Systems Engineering and Electronics, 2020, 42(4): 904-911. |
[9] | PENG Huafu, HUANG Gaoming, TIAN Wei, QIU Hao. Labeled multi-Bernoulli filter based on amplitude information [J]. Systems Engineering and Electronics, 2018, 40(12): 2636-2641. |
[10] | LIU Jianye, WANG Hua, ZHOU Wanmeng. LEO constellation sensor resources scheduling algorithm based on Genetic and Simulated annealing [J]. Systems Engineering and Electronics, 2018, 40(11): 2476-. |
[11] | GU Xiaolin, ZHOU Shilin, LEI Lin. Multi-target tracking based on m-best data association and tracklet associatio [J]. Systems Engineering and Electronics, 2017, 39(7): 1640-1646. |
[12] | YUAN Changshun, WANG Jun, XIANG Hong, SUN Jinping. Adaptive δ-GLMB filtering algorithm based on VB approximation [J]. Systems Engineering and Electronics, 2017, 39(2): 237-243. |
[13] | CHEN Hang, ZHANG Bo-yan, CHEN Ying. Multiple hypothesis tracking with adaptive association depth [J]. Systems Engineering and Electronics, 2016, 38(9): 2000-2007. |
[14] | YUAN Changshun, WANG Jun, LEI Peng, SUN Jinping, BI Yanxian. Multi-target tracking based on PHD filter for phased array radar [J]. Systems Engineering and Electronics, 2016, 38(3): 539-544. |
[15] | LU Hong, LI Hong-sheng, FEI Shu-min, CHENG Yong. Block level saliency centroid representation and multi-level association based multi-target tracking [J]. Systems Engineering and Electronics, 2015, 37(9): 2182-2190. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||