一種新的機(jī)動(dòng)目標(biāo)跟蹤的多模型算法
A New IMM Method for Tracking Maneuvering Target
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摘要: 設(shè)計(jì)了一種僅僅使用兩個(gè)模型實(shí)現(xiàn)對機(jī)動(dòng)目標(biāo)精確跟蹤的多模型算法,采用了含有法向和切向加速度的加速度均值自適應(yīng)的當(dāng)前統(tǒng)計(jì)模型和擴(kuò)展后的常速模型進(jìn)行交互。該算法不受目標(biāo)轉(zhuǎn)彎率大小和變化的限制,對目標(biāo)運(yùn)動(dòng)模式的未知參數(shù)變化的適應(yīng)性較強(qiáng)。仿真結(jié)果表明,該算法對目標(biāo)的跟蹤精度明顯優(yōu)于傳統(tǒng)的使用3個(gè)以上模型交互的IMM-CV/CT算法。由于本算法能夠估計(jì)出目標(biāo)的法向和切向加速度,進(jìn)行適當(dāng)?shù)哪Ｐ图O(shè)計(jì)后,可以實(shí)現(xiàn)對復(fù)雜、快速機(jī)動(dòng)目標(biāo)的全過程跟蹤,具有可擴(kuò)展性的應(yīng)用前景。Abstract: A new IMM algorithm for tracking maneuvering target is proposed, which only uses two models that consist of a CS model and an augmented CV model for interaction. The CS model which uses the state variable with normal acceleration and tangent acceleration is fit for the accurate tracking of coordinated turn movement. This method is not subjected to the limit of the magnitude and change of turn rate, and has more flexibility to uncertain parameters. The simulation shows that this algorithm is superior to the conventional IMM-CV/CT algorithm which uses more than three models for interaction in terms of the accuracy of tracking and adaptation. Because this algorithm can estimate the normal and tangent acceleration, it may be used to implement the tracking for the complexly and highly maneuvering target after appropriate model-set design.
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