Improved Adaptive Markov IMM Algorithm

DAI Ding-cheng, YAO Min-li, CAI Zong-ping, HE Heng

ACTA ELECTRONICA SINICA ›› 2017, Vol. 45 ›› Issue (5) : 1198-1205.

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ACTA ELECTRONICA SINICA ›› 2017, Vol. 45 ›› Issue (5) : 1198-1205. DOI: 10.3969/j.issn.0372-2112.2017.05.024

Improved Adaptive Markov IMM Algorithm

  • DAI Ding-cheng1, YAO Min-li1, CAI Zong-ping2, HE Heng1
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Abstract

To solve the maneuvering target tracking problem,firstly,the essential condition of adaptive adjusting model based on adaptive Markov parameter IFIMM algorithm is deduced.Then the limitation of adaptive Markov parameter IMM algorithm is further analyzed.Through redefining the error compression ratio between models,an improved adaptive Markov parameter IMM algorithm is proposed,and the character of the error compression ratio is elaborated.Finally,application scope of improved adaptive Markov parameter IMM algorithm is delimited by simulation experiments.

Key words

target tracking / interacting multiple model(IMM) / Markov matrix / posterior information

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DAI Ding-cheng, YAO Min-li, CAI Zong-ping, HE Heng. Improved Adaptive Markov IMM Algorithm[J]. Acta Electronica Sinica, 2017, 45(5): 1198-1205. https://doi.org/10.3969/j.issn.0372-2112.2017.05.024

References

[1] Mazor E,Averbuch A,Bar-Shalom Y,et al.Interacting multiple model methods in target tracking: a survey[J].IEEE Trans on Aerospace and Electronic Systems,1998,34(1):103-123.
[2] Zhang L,Mao X.Vehicle density estimation of freeway traffic with unknown boundary demand-supply: an interacting multiple model approach[J].IET Control Theory & Applications,2015,9(13):1989-1995.
[3] Reali F,Palmerini G B,Farina A,et al.Parametric analysis of ballistic target-tracking problem by multiple model approach[J].IET Radar Sonar & Navigation,2013,7(4):459-469.
[4] Chen X L,Gao J,Han X.An algorithm based on interacting multiple models for maneuvering target tracking[A].Information Technology and Artificial Intelligence Conference (ITAIC)[C].IEEE,2014.405-408.
[5] Hou J,Li X R,Jing Z.Multiple model tracking of manoeuvring targets accounting for standoff jamming information[J].IET Radar Sonar & Navigation,2013,7(4):342-350.
[6] 蔡宗平,戴定成,牛创.基于容积粒子滤波的交互式多模型算法[J].系统工程与电子技术,2014,36(12):2366-2370. Cai Z P,Dai D C,Niu C.Interacting multiple model algorithm with cubature particle filter[J].Systems Engineering and Electronics,2014,36(12):2366-2370.(in Chinese)
[7] Lee S J,Motai Y,Choi H.Tracking Human Motion With Multichannel Interacting Multiple Model[J].IEEE Trans.on Industrial Informatics,2013,9(3):1751-1763.
[8] Jin B,Bo J,Su T,et al.Switched Kalman filter-interacting multiple model algorithm based on optimal autoregressive model for manoeuvring target tracking[J].IET Radar Sonar & Navigation,2015,9(2):199-209.
[9] Fu X,Shang Y,Yuan H.Improved diagonal interacting multiple model algorithm for manoeuvering target tracking based on H∞ filter[J].IET Control Theory & Applications,2015,9(12):1887-1892.
[10] Lan J,Li X R,Jilkov V P,et al.Second-Order Markov Chain Based Multiple-Model Algorithm for Maneuvering Target Tracking[J].IEEE Trans on Aerospace & Electronic Systems,2013,49(1):3-19.
[11] Wu P,Li X,Zhang L,et al.Tracking algorithm with radar and infrared sensors using a novel adaptive grid interacting multiple model[J].IET Science,Measurement & Technology,2014,8(5):270-276.
[12] Li W,Jia Y.An information theoretic approach to interacting multiple model estimation[J].IEEE Trans on Aerospace & Electronic Systems,2015,51(3):1811-1825.
[13] 臧荣春,崔平远.马尔可夫参数自适应IFIMM算法研究[J].电子学报,2006,34(3):521-524. Zang R C,Cui P Y.Research on adaptive Markov parameter IFIMM algorithm[J].Acta Electronica Sinica,2006,34(3):521-524.(in Chinese)
[14] 封普文,黄长强,曹林平,等.马尔可夫矩阵修正IMM跟踪算法[J].系统工程与电子技术,2013,35(11):2269-2274. Feng P W,Huang C Q,Cao L P,et al.Research on adaptive Markov matrix IMM tracking algorithm[J].Systems Engineering & Electronics,2013,35(11):2269-2274.(in Chinese)
[15] Qu H Q,Pang L P,Li S H.A novel interacting multiple model algorithm[J].Signal Processing,2009,89(11):2171-2177.tiple model approach[J][J].IET Control Theory & Applications, 2015, 9(13):1989-1995 [3]Reali F, Palmerini G B, Farina A, et al.Parametric analysis of ballistic target-tracking problem by multiple model approach[J].IET Radar Sonar & Navigation, 2013, 7(4):459-469 [4]Chen X L, Gao J, Han X.An algorithm based on interacting multiple models for maneuvering target tracking[C]// Information Technology and Artificial Intelligence Conference (ITAIC), 2014 IEEE 7th Joint International. IEEE, 2014:405-408.3 [5]Hou J, Li X R, Jing Z.Multiple model tracking of manoeuvring targets accounting for standoff jamming information[J].IET Radar Sonar & Navigation, 2013, 7(4):342-350 [6]蔡宗平, 戴定成, 牛创.基于容积粒子滤波的交互式多模型算法[J].系统工程与电子技术, 2014, 36(12):2366-2370 [7]Lee S J, Motai Y, Choi H.Tracking Human Motion With Multichannel Interacting Multiple Model[J].IEEE Trans. on Industrial Informatics, 2013, 9(3):1751-1763 [8]Jin B, Bo J, Su T, et al.Switched Kalman filter-interacting multiple model algorithm based on optimal autoregressive model for manoeuvring target tracking[J].IET Radar Sonar & Navigation, 2015, 9(2):199-209 [9]Fu X, Shang Y, Yuan H.Improved diagonal interacting multiple model algorithm for manoeuvering target tracking based on H∞ filter[J].IET Control Theory & Applications, 2015, 9(12):1887-1892 [10]Lan J, Li X R, Jilkov V P, et al.Second-Order Markov Chain Based Multiple-Model Algorithm for Maneuvering Target Tracking[J].IEEE Trans. on Aerospace & Electronic Systems, 2013, 49(1):3-19 [11]Wu P, Li X, Zhang L, et al.Tracking algorithm with radar and infrared sensors using a novel adaptive grid interacting multiple model[J].IET Science, Measurement & Technology, 2014, 8(5):270-276 [12]Li W, Jia Y.An information theoretic approach to interacting multiple model estimation[J].IEEE Trans. on Aerospace & Electronic Systems, 2015, 51(3):1811-1825 [13]臧荣春, 崔平远.马尔可夫参数自适应算法研究[J].电子学报, 2006, 03期(3):521-524 [14]封普文, 黄长强, 曹林平, 等.马尔可夫矩阵修正跟踪算法[J].系统工程与电子技术, 2013, 11期(11):2269-2274 [15]Qu H Q, Pang L P, Li S H.A novel interacting multiple model algorithm[J].Signal Processing, 2009, 89(11):2171-2177

Funding

National Natural Science Foundation of China (No.61179005)
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