基于修正卡爾曼濾波的目標(biāo)多源跟蹤
發(fā)布時(shí)間:2018-08-17 14:01
【摘要】:針對(duì)多源跟蹤測(cè)量信號(hào)處理原則進(jìn)行了分析和研究,并在此基礎(chǔ)上對(duì)多源信號(hào)篩選和濾波估計(jì)值的修正原則進(jìn)行了研究,確保了所得修正測(cè)量值的可靠性和濾波估計(jì)值判定門(mén)限的可信度。對(duì)修正卡爾曼濾波跟蹤算法進(jìn)行了研究,分析了其優(yōu)勢(shì)和不足,并提出了采用多源跟蹤和修正估計(jì)協(xié)方差的方法來(lái)彌補(bǔ)修正卡爾曼濾波跟蹤的不足。仿真對(duì)比實(shí)驗(yàn)驗(yàn)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(lèi)號(hào)】:TN713;TN953
,
本文編號(hào):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(lèi)號(hào)】:TN713;TN953
,
本文編號(hào):2187861
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