基于修正卡爾曼濾波的目標(biāo)多源跟蹤
發(fā)布時間:2018-08-17 14:01
【摘要】:針對多源跟蹤測量信號處理原則進行了分析和研究,并在此基礎(chǔ)上對多源信號篩選和濾波估計值的修正原則進行了研究,確保了所得修正測量值的可靠性和濾波估計值判定門限的可信度。對修正卡爾曼濾波跟蹤算法進行了研究,分析了其優(yōu)勢和不足,并提出了采用多源跟蹤和修正估計協(xié)方差的方法來彌補修正卡爾曼濾波跟蹤的不足。仿真對比實驗驗證了所提出跟蹤模型的有效性。
[Abstract]:The principle of signal processing for multi-source tracking measurement is analyzed and studied. On the basis of this, the principle of filtering and filtering estimation of multi-source signal is studied. It ensures the reliability of the revised measurement value and the reliability of the filter estimation threshold. In this paper, the modified Kalman filter tracking algorithm is studied, its advantages and disadvantages are analyzed, and the methods of multi-source tracking and modified estimation covariance are proposed to compensate for the shortcomings of modified Kalman filter tracking. The simulation results show that the proposed tracking model is effective.
【作者單位】: 海軍工程大學(xué)兵器工程系;海軍某軍事代表室;
【分類號】:TN713;TN953
,
本文編號:2187861
[Abstract]:The principle of signal processing for multi-source tracking measurement is analyzed and studied. On the basis of this, the principle of filtering and filtering estimation of multi-source signal is studied. It ensures the reliability of the revised measurement value and the reliability of the filter estimation threshold. In this paper, the modified Kalman filter tracking algorithm is studied, its advantages and disadvantages are analyzed, and the methods of multi-source tracking and modified estimation covariance are proposed to compensate for the shortcomings of modified Kalman filter tracking. The simulation results show that the proposed tracking model is effective.
【作者單位】: 海軍工程大學(xué)兵器工程系;海軍某軍事代表室;
【分類號】:TN713;TN953
,
本文編號:2187861
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