多站測(cè)角的機(jī)動(dòng)目標(biāo)最小二乘自適應(yīng)跟蹤算法
Least Squares Adaptive Algorithm for Bearings-Only Multi-sensor Maneuvering Target Passive Tracking
-
摘要: 為了避免被動(dòng)跟蹤中非線(xiàn)性帶來(lái)的計(jì)算復(fù)雜化及精度的下降問(wèn)題,該文首先采用最小二乘法對(duì)目標(biāo)的狀態(tài)進(jìn)行粗估計(jì),然后采用當(dāng)前機(jī)動(dòng)目標(biāo)模型和自適應(yīng)跟蹤算法進(jìn)行線(xiàn)性的卡爾曼濾波,以實(shí)現(xiàn)對(duì)目標(biāo)較高精度的定位和跟蹤。實(shí)驗(yàn)結(jié)果表明:該方法對(duì)于勻速和勻加速運(yùn)動(dòng)的目標(biāo)都可以達(dá)到良好的跟蹤效果,其誤差遠(yuǎn)小于經(jīng)典的singer方法;對(duì)于強(qiáng)機(jī)動(dòng)目標(biāo),singer方法將失效,而本文方法仍能實(shí)時(shí)辨識(shí)出目標(biāo)的速度和加速度,并且估計(jì)效果良好。Abstract: To avoid the computational complexity and the precision decrease from the nonlinear feature in passive tracking, the state of the target is approximately estimated by least squares algorithm at first, and then a current statistical model and an adaptive algorithm are employed. The simulation results show that the novel least squares adaptive algorithm is of higher tracking precision than Singer algorithm in tracking the target with constant velocity or acceleration, and that it is able to estimate effectively the velocity and acceleration of the maneuvering target, in which case Singer algorithm does not work.
-
Singer R A. Estimation optimal tracking filter performance for manned maneuvering targets. IEEE Trans. on AES, 1970, 6(4):473 - 483.[2]Chan Y T, Hu A G C, Plant J B. A Kalman filter based tracking scheme with input estimation. IEEE Trans. on AES, 1979, 15(2):237 - 244.[3]Bogler P L. Tracking a maneuvering targets using input estimation. IEEE Trans. onAES, 1987, 23(3): 298 - 310.[4]Bar-Shalom Y, Birmiwal K. Variable dimension filter for maneuvering target tracking. IEEE Trans. on AES, 1982, 18(5):611-619.[5]Blom H A P, Bar-Shalom Y. The interacting multiple model algorithm for systems with markovian switching coefficients.IEEE Trans. onAC, 1988, 33(8): 780 - 783.[6]周宏仁,敬忠良,王培德.機(jī)動(dòng)目標(biāo)跟蹤.北京:國(guó)防工業(yè)出版社,1991:134-153.[7]Zhou H-R, Kumar K S P. A current statistical model and adaptive algorithm for estimating maneuvering targets[J].AIAA J. of Guidance, Control and Dynamics.1984, 7(5):596-[8]邱玲,沈振康.三維純角度被動(dòng)跟蹤定位的最小二乘-卡爾曼濾波算法.紅外與激光工程,2001,30(2):83-87. -
計(jì)量
- 文章訪(fǎng)問(wèn)數(shù): 2267
- HTML全文瀏覽量: 109
- PDF下載量: 801
- 被引次數(shù): 0
下載:
