一種新的機(jī)動(dòng)目標(biāo)跟蹤濾波的模型方法
A NEW MODELING FILTERING METHOD FOR TRACKING MANOEUVRING TARGETS
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摘要: 本文提出了一種新的機(jī)動(dòng)目標(biāo)跟蹤濾波的模型方法。它將目標(biāo)的機(jī)動(dòng)加速度作為一狀態(tài)變量引入模型而直接進(jìn)行估計(jì),并通過卡爾曼濾波器的殘差來檢測(cè)目標(biāo)機(jī)動(dòng)與否。一旦檢測(cè)出目標(biāo)機(jī)動(dòng),馬上重新啟動(dòng)卡爾曼濾波器以適應(yīng)機(jī)動(dòng)加速度的跳變。新的自適應(yīng)濾波方法在這種情況下實(shí)現(xiàn)了最佳濾波。計(jì)算機(jī)仿真結(jié)果表明,在計(jì)算量遠(yuǎn)少于Moose方法計(jì)算量的情況下,本文方法的濾波精度與Moose方法的濾波精度相當(dāng)。
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關(guān)鍵詞:
- 濾波器; 目標(biāo)跟蹤濾波; 自適應(yīng)濾波
Abstract: A new modeling filtering method for tracking manoeuvring targets is presented. The manoeuvring accelaration of target is treated as a state variable in the model and then estimated directly. The occurences of target maneuvres are detected by the residue of the Kalman filter. As soon as the manoeuvres found, the algorithm of Kalman filter is restarted so as to adapt the filter to the jumps of manoeuvring accelaration. The enw adaptive filtering method may be thought of optimum in the case. The computing time is much less than that of Moose's method while the filtering accuracy in both cases is nearly the same as shown in the computer simulation. -
R. A. Singer, IEEE Trans. on AES, AES-6(1970), 478-483.[2]R. L. Moose, IEEE Trans. on AES, AES-13(1977), 310-317.[3]R. L. Moose, IEEE Trans. on AES, AES-15(1979), 448-456.[4]Y. T. Chan, IEEE Trans. on AES, AES-15(1979), 237-243.[5]Y. T. Chan, IEEE Trans. on AES, AES-18(1982), 235-241.[6]賈沛璋, 朱征北編著, 最佳估計(jì)及其應(yīng)用,科學(xué)出版社,1984年.[7]B, D. O. 安德森, J. B. 摩爾著, 盧伯英譯,最佳濾波,國防工業(yè)出版社, 1983年.孫仲康編著, 雷達(dá)數(shù)據(jù)數(shù)字處理, 國防工業(yè)出版社, 1983年. -
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