[an error occurred while processing this directive] [an error occurred while processing this directive] [an error occurred while processing this directive]
[an error occurred while processing this directive]

Journal of Projectiles, Rockets, Missiles and Guidance >

2011 , Vol. 31 >Issue 2: 161 - 164

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2011.02.024

CORRELATION TECHNOLOGY

Multi-sensor PHD Filter Algorithm Based on Data Compression

  • TAN Shuncheng ,
  • WANG Guohong ,
  • XU Haiquan ,
  • WANG Na
Expand
  • 1 Research Institute of Information Fusion, Naval Aeronautical and Astronautical University, Shandong Yantai 264001, China
    2 No. 92941 Unit, Liaoning Huludao 125000, China

Received date: 2010-05-22

  Online published: 2025-05-30

Fold

Abstract

For multi-sensor multi-target tracking, a novel multi-sensor probability hypothesis density (PHD) filter based on data compression was proposed to solve the computation load of the serial multi-sensor PHD (SMSPHD) filter. With the proposed method, firstly, the multi-sensor measurements were equivalently converted to those from a single sensor by using data compression, then, the PHD filter was executed. The simulation results demonstrate that the proposed method can realize the tracking of multiple targets effectively. Moreover, as the increasing of the number of sensors, the added computational complexity of the proposed method is about 4.3% of that of the SMSPHD.

Key words： data compressing; probability hypothesis density; multi-sensor; multi-target tracking

Cite this article

TAN Shuncheng , WANG Guohong , XU Haiquan , WANG Na . Multi-sensor PHD Filter Algorithm Based on Data Compression[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2011 , 31(2) : 161 -164 . DOI: 10.15892/j.cnki.djzdxb.2011.02.024

[an error occurred while processing this directive]

References

[1]
何友, 王国宏, 陆大给, 等. 多传感器信息融合及应用[M]. 2版. 北京: 电子工业出版社, 2007.
[2]
M Duarte, Y H Hu. Vehicle classification in distributed sensor networks[J]. Journal of Parallel and Distributed Computing, 2004, 64(7): 826-838.
[3]
C David, E Deborah, S Mani. Overview of sensor networks[J]. IEEE Computer, Special Issue in Sensor Networks, 2004, 37(8): 4-49.
[4]
K Chang, C Chong, Y Bar-Shalom. Joint probabilistic data association in distributed sensor networks[J]. IEEE Trans. on Automatic Control, 1986, AC-31(10): 889-897.
[5]
S S Blackman. Multiple hypothesis tracking for multiple targets tracking[J]. IEEE Transactions on Aerospace and Electronic Systems Magazine, 2004, 19(1): 5-18.
[6]
S W Joo, R Chellappa. A multiple-hypothesis approach for multiobject visual tracking[J]. IEEE Transactions on Image Processing, 2007, 16(11): 2849-2854.
[7]
K Panta, B Vo, S Singh. Novel data association schemes for the probability hypothesis density filter[J]. IEEE Transactions on Aerospace and Electronic Systems, 2007, 43(2): 556-570.
[8]
R Mahler. Multitarget Bayes filtering via first-order mul-ti-target moments[J]. IEEE Transactions on Aerospace and Electronic Systems, 2003, 39(4): 1152-1178.
[9]
B Vo, S Singh, A Doucet. Sequential Monte Carlo methods for multi-target filtering with random finite sets[J]. IEEE Transactions on Aerospace and Electronic Systems, 2005, 41(4): 1224-1245.
[10]
B Vo, W K Ma. The Gaussian mixture probability hypothesis density filter[J]. IEEE Transactions on Signal Processing, 2006, 54(11): 4091-4104.
[11]
L Lin, Y Bar-Shalom, T Kirubarajan. Track labeling and the PHD filter for multitarget tracking[J]. IEEE Transactions on Aerospace and Electronic Systems, 2006, 42(3): 778-795.
[12]
K Punithakumar, T Kirubarajan, A Sinha. Multiple-model probability hypothesis density filter for tracking maneuvering targets[J]. Transactions on Aerospace and Electronic Systems, 2008, 44(1): 87-98.
[13]
J Hoffman, R Mahler. Multi-target misses distance via optimal assignment[J]. IEEE Transactions on Systems, Man and Cybernetics, 2004, A-34(3): 327-336.
Options
Outlines

/

〈 〉

[an error occurred while processing this directive]