適于復(fù)雜信息融合系統(tǒng)的近似聯(lián)合概率數(shù)據(jù)關(guān)聯(lián)算法
Approximate multi-sensor multi-target joint probabilistic data association algorithm applicable to complex information fusion system
-
摘要: 文中在B.Zhou提出的直接概率計(jì)算(DC)和近似概率計(jì)算(AC)算法基礎(chǔ)上提出了一種新的近似多傳感器多目標(biāo)聯(lián)合概率數(shù)據(jù)關(guān)聯(lián)算法。近似概率法是以一個(gè)目標(biāo)為中心的近似聚為構(gòu)造互聯(lián)事件的起點(diǎn)，并在計(jì)算中將DC和AC結(jié)合得到的一種全鄰的點(diǎn)跡-航跡關(guān)聯(lián)算法。它能有效地提高目標(biāo)點(diǎn)跡-航跡的關(guān)聯(lián)正確率，在計(jì)算時(shí)耗上較完全聯(lián)合概率法快得多，能滿足工程中實(shí)時(shí)性的要求，將其在雜波下目標(biāo)密集、航跡復(fù)雜的數(shù)據(jù)融合系統(tǒng)中進(jìn)行實(shí)驗(yàn)，對(duì)關(guān)聯(lián)正確率，關(guān)聯(lián)耗時(shí)等與最近鄰法進(jìn)行了比較，效果較好。Abstract: To reduce the incorrect association rate using NN (Nearest, Neighbor) algorithm in complex environment in clutter, a new plot-track association algorithm-Approximate Multi-Sensor multi-target Joint Probabilistic Data Association (AMSJPDA) is presented in the pa-per. It uses all the measurements in the tracking gate and every measurement has its own power, Added the measurements multiplied by their power the near optimal track estimation is achieved. AMSJPDA, based on the Approximate probabilistic Computing (AC) and Direct probabilistic Computing (DC) brought forward by B. Zhou, is the amelioration of MS JPDA and demands less time than MSJPDA. It meets the need of large scale plates and the real-time performance of data fusion system. At the end of the paper the comparison result of AMSJPDA and the NN is given.
-
Y. Bar-Shalom, Tracking methods in a multi-target environment, IEEE Trans. on Automatic Control, 1978, AC-24(4), 618-626.[2]Y. Bar-Shalom, T. E. Fortman, Tracking and Data Association, New York, Academic Press, 1988,26-31.[3]S. Deb, M. Yeddanapudi, K. Pattipati, Y. Bar-Shalom, A generalized S-D assignment algorithm for multi-sensor multi-target state estimation, IEEE Trans. on Aerospace and Electronic Systems,1997, AES-33(2), 523-537.[4]B. Zhou, N. K. Bose, Multitarget tracking in clutter: Fast algorithms for data association, IEEE Trans. on Aerospace and Electronic Systems, 1993, AES-29(2), 352-363.[5]J.A. Rocker, A class of near optimal JPDA algorithms, IEEE Trans. on Aerospace and Electronic Systems, 1994, AES-30(2), 504-510.[6]L. Fisher, P. Casasent, Fast JPDA multitarget tracking algorithm, Applied Optics, 1989, 28(2),371-376.[7]田科鈺,鐘恢扶,一種新的聯(lián)合概率數(shù)據(jù)互聯(lián)算法,現(xiàn)代雷達(dá),1999,21(4),36-42.[8]何友,王國(guó)宏,陸大 ,彭應(yīng)寧,多傳感器信息融合及應(yīng)用,北京,電子工業(yè)出版社,2000,第一版,78-92. -
計(jì)量
- 文章訪問(wèn)數(shù): 2617
- HTML全文瀏覽量: 145
- PDF下載量: 596
- 被引次數(shù): 0
下載:
