/
| 〈 |
|
〉 |
Journal of Projectiles, Rockets, Missiles and Guidance >
SMC-PHD Improved Algorithm Based on Distributions of Measurements
Received date: 2016-10-09
Online published: 2025-05-28
The sequence Monte Carlo probability hypothesis density(SMC-PHD) filter algorithm needed a large number of particles, which led to some problems, such as inefficiency, low estimation accuracy, etc. The sequence Monte Carlo probability hypothesis density filter algorithm was taken as framework in this paper, and the measurement value was selected by probability using the likelihood of the measurement information in the latest measurement set and the single step prediction state of target particle, then the probability hypothesis filtering algorithm was updated. The simulation results showed that compared with the existing sequence Monte Carlo probability hypothesis density filter algorithm, the estimation accuracy of the new algorithm was improved significantly under the same simulation conditions.
FAN Pengfei , LI Hongyan , WANG Xue . SMC-PHD Improved Algorithm Based on Distributions of Measurements[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2017 , 37(4) : 123 -127 . DOI: 10.15892/j.cnki.djzdxb.2017.04.029
| [1] | MAHLER R P S. Multitarget Bayes filtering via first-order multi-target moments[J]. IEEE Transactions on Aerospace and Electronic Systems,2003,39(4):1152-1178. |
| [2] | MAHLER R P S,Mahler. PHD filters of higher order in target number[J]. IEEE Transactions on Aerospace and Electronic Systems,2007,43(4):1523-1543. |
| [3] | VO Ba-Tuong,VO Ba-Ngu,ANTONIO Comtoni,et al. The cardinality balanced multi-target multi-bernoulli filter and its implementations[J]. IEEE Transactions on Signal Processing, 2009,57(2):409-423. |
| [4] | VO Ba-Ngu,SINGH S,DOUCET A,et al. Sequential Monte Carlo methods for multitarget filtering with random finite sets[J]. IEEE Transactions on Aerospace and Electronic Systems,2005,41(4):1224-1245. |
| [5] | VO Ba-Ngu,SINGH S,DOUCET A. Random finite sets and sequential Monte Carlo methods in multi-target tracking[C]//IEEE. 2003 Proceedings of the International Conference on Radar.[S.l.]: IEEE,2003: 486-491. |
| [6] | QUANG Pham Tran Anh,KIM Dong-Sung. Enhancing real-time delivery of gradient routing for industrial wireless sensor networks[J]. IEEE Transactions on Industrial Informatics, 2012,8(1):61-68. |
| [7] | MEISSNER D,REUTER S,STRIGEL E,et al. Intersection-based road user tracking using a classifying multiplemodel PHD filter[J]. IEEE Intelligent Transportation Systems Magazine,2014,6(2):21-33. |
| [8] | LI T,SUN S,SATTAR T P. High-speed Sigma-gating SMC-PHD filter[J]. Signal Processing,2013,93 (9):2586-2593. |
| [9] | RISTIC B,CLARK D,VO Ba-Ngu, et al. Adaptive target birth intensity for PHD and CPHD filters[J]. IEEE Transactions on Aerospace and Electronic Systems,2012,48(2):1656-1668. |
| [10] | SHI Zhiguo,ZHENG Yunmei,BIAN Xiaomeng,et al. Threshold-based resampling for high-speed particle PHD filter[J]. Progress in Electromagnetics Research,2013, 136: 369-383. |
| [11] | WANG Junjie,ZHAO Lingling,SU Xiaohong,et al. Cluster-based efficient particle PHD filter[C]//IEEE.2015 International Conference on Control,Automation and Information Sciences.[S.l.]: IEEE,2015: 219-224. |
| [12] | RISTIC B,CLARK D,VO Ba-Ngu,et al. Adaptive target birth intensity for PHD and CPHD filters[J]. IEEE Transactions on Aerospace and Electronic Systems,2012, 48(2):1656-1668. |
| [13] | 徐从安,刘瑜,熊伟,等. 新生目标强度未知的双门限粒子PHD 滤波器[J]. 航空学报,2015,36 (12):3957-3969. |
| [14] | CLARK D E,BELL J. Multi-target state estimation and track continuity for the particle PHD filter[J]. IEEE Transactions on Aerospace and Electronic Systems,2007, 43(4):1441-1453. |
/
| 〈 |
|
〉 |