模型轉(zhuǎn)移概率自適應(yīng)的交互式多模型跟蹤算法
Interacting Multiple Model Algorithm with Adaptive Markov Transition Probabilities
-
摘要: 該文利用量測中所包含的當(dāng)前模式信息，實(shí)現(xiàn)了馬爾可夫轉(zhuǎn)移概率的實(shí)時(shí)估計(jì)，并將估計(jì)結(jié)果用于交互式多模型跟蹤算法(IMM)的設(shè)計(jì)中，構(gòu)造出參數(shù)自適應(yīng)的交互多模型跟蹤算法(PAIMM)，有效降低了人為因素的影響。通過一個(gè)跟蹤機(jī)動(dòng)目標(biāo)的仿真實(shí)例，說明PAIMM算法的有效性。
-
關(guān)鍵詞:
- 多模型估計(jì);馬爾可夫轉(zhuǎn)移概率;IMM算法;目標(biāo)跟蹤
Abstract: A estimator of the time-varying Markov state transition probabilities is presented , which is based on the measurements. Then the Parameter Adaptive Interacting Multiple Model (PAIMM) is designed by adopting the above estimator. In comparison with that of the conventional IMM algorithm , the tracking performance of PAIMM is better in the simulation of tracking a maneuvering target. -
Li X R. Hybrid estimation techniques in Control and Dynamic system: Advances in Theory and Applications. CT: Leondes, Ed. New York: Academic, 1996, Vol.76: 1-76.[2]Li X R. Hybrid state estimation and performance prediction with applications to air traffic control and detection threshold optimization. hD. sertation , Univ. Connecticut, Storrs, 1992.[3]Zhang Y M, Li X R. Detection and diagnosis of sensor and actuator failures using IMM estimator[J].IEEE Trans. on Aerospace and Electronic Systems.1998, 34(4):1293-1313[4]Liang Y, Cheng Y M, Jia Y G , Pan Q. Analysis on the perfor- mance and properties of interacting multiple models algorithm. Control Theory and Applications, 2001, 18(4): 487-492.[5]Li X R, Bar-Shalom Y. Mulitiple-model estimation with variable structure. IEEE Trans. on Automatic Control, 1996, 41(4):1-16.[6]Bar-Shalom Y, Li X R. Multitarget-Multisensor Tracking: Principles and Techniques. CT: YBS, Storrs, 1995: 187-277.[7]Li X R and Zhang Y M. Multiple-model estimation with variable structure Part V: Likely-model set algorithm. IEEE Trans. on Ae-[8]rospace and Electronic Systems, 2000, 36(2): 448-465.[9]Blom A P, Bar-Shalom Y. The interacting multiple model algorithm for systems with Markovian switching coefficients, IEEE Trans[J].on Automatic Control.1988, 33(8):780-783[10]周宏仁，敬忠良，王培德. 機(jī)動(dòng)目標(biāo)跟蹤. 北京:國防工業(yè)出版社，1991.8：134-153.[11]賈宇崗，梁彥，潘泉. 交互式多模型算法過渡過程的仿真分析.系統(tǒng)仿真學(xué)報(bào)，2002, 14(1): 16-18. -
計(jì)量
- 文章訪問數(shù): 2471
- HTML全文瀏覽量: 93
- PDF下載量: 1227
- 被引次數(shù): 0
下載:
