一種基于IMM的非迭代式自適應(yīng)變數(shù)據(jù)率算法
IMM BASED NONITERATIVE ADAPTIVE VARIABLE DATA RATE ALGORITHM
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摘要: 本文提出了一種新的自適應(yīng)調(diào)節(jié)跟蹤數(shù)據(jù)率的方法。這種算法利用了跟蹤幀周期與濾波精度和濾波器模型參數(shù)之間的解析關(guān)系,解決了自適應(yīng)調(diào)節(jié)數(shù)據(jù)率時(shí)確定調(diào)節(jié)量的問(wèn)題。仿真結(jié)果表明,這種算法不僅保留了多模型變數(shù)據(jù)率方法的主要優(yōu)點(diǎn),而且克服了現(xiàn)有多模型變數(shù)據(jù)率方法計(jì)算量太大的缺點(diǎn)。Abstract: A new method of adaptively controlling the sampling rate of tracking is proposed in this paper. The analytic relationship between the sampling interval and the accuracy and model parameters of filter is applied.The problem of deciding the amount of the sampling interval is thus solved when the sampling rate is required to be controlled. It is shown by the simulation tests that the default of heavy computation budern in the methods of varying sampling rate based on multiple models is overcome meanwhile the prime advantages of those methods is conserved.
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Cohen S A. Adaptive variable update rate algorithm for tracking targets with a phased array radar. lEE Proc.-F,1986, 133(3) 277-280.[2]Wilkin D J, Harrison 1, Woolfson MS. Target tracking algorithms for phased array radar. IEE Proc. -F, 1991, 138(3): 255-262.[3]Blair W D, Watson G A, Hoffman S A. Benchmark problem for beam pointing control of phased array radar against maneuvering targets. Proceedings of the 1994 American Control Conference, Baltlmere, Maryland: July, 1994. 2, 2071-2075.[4]Sarunic P W. Adaptive variable update rate target tracking for a phased array radar. IEEE International Radar Conference, Alexandria Va: 1995, 317-322.[5]Bar-Shalom Y. Multitarget-multisensor tracking and fusion. Tutorial in 1997 National Radar[6]Conference, Syracuse, NY:15 May, 1997.[7][6][8]Farina A, Studer F A. Radar Data Processing. Research studies Press LTD, 1985; 182-188. -
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