期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

基于量测转换与输入估计的机动目标跟踪算法 被引量：7

Maneuvering target tracking algorithm based on converted measurement and input estimation
在线阅读 下载PDF
导出
摘要 针对雷达系统中机动目标的跟踪问题,提出输入估计(input estimation,IE)与无偏量测转换(unbiased converted measurement,UCM)相融合的自适应算法。用无偏量测转换技术将观测量转换到直角坐标系,使得在极坐标系内应用IE成为可能;提出检测窗内加速度阶梯变化的假设并推导相关模型,使得单个输入估计器能够跟踪各种变化机动。仿真分析表明,算法与基于多滤波器并行工作的交互式多模型相比,跟踪精度相当,但运算量大大降低,因此适用于对性能和实时性要求较高的场合,有很好的应用前景。 An overall adaptive tracking algorithm is proposed to estimate state variables of maneuvering target. Combining with unbiased converted measurement（UCM）technique to convert polar measurements to Cartesian coordi-nate,input estimation （IE）can be manipulated in polar coordinate.After assuming the acceleration within detection window is linear step distributed,the derivation of relevant model is made,so a single input estimator can track variable maneuver level.Simulation results for different target profiles are included.Compared with the interactive multiple model algorithm which is based on concurrent working of multiple filters,the scheme is comparable in terms of tracking performance while the computation complexity can be significantly reduced,so the proposed algorithm is suitable to ap-plication with high demand for performance and efficiency,which makes it a promising algorithm.
作者 盛琥 赵温波 王立明 刘发磊 曹燕
机构地区 陆军军官学院
出处 《系统工程与电子技术》 EI CSCD 北大核心 2015年第1期31-36,共6页 Systems Engineering and Electronics
基金 国家自然科学基金(61273001) 安徽省自然科学基金(1208085QF109)资助课题
关键词 全面自适应跟踪 变加速度跟踪 输入估计 无偏量测转换 overall adaptive tracking variable acceleration tracking input estimation（IE） unbiased con-verted measurement
分类号 TN953 [电子电信—信号与信息处理]
  • 相关文献

参考文献17

  • 1韩崇昭,朱洪艳,段战胜,等.多源信息融合[M].2版.北京:清华大学出版社,2010.
  • 2Chan Y T, Hu A G C, Plant J B. A Kalman filter based trackingscheme with input estimation [J]. IEEE Trans . on Aerospace andElectronic Systems, 1979,15(2) :237 - 244.
  • 3Bogler P L. Tracking a maneuvering target using input estima-tion[J]. IEEE Trans, on AES , 1987,23(3) : 298 - 310.
  • 4Wang T C, Varshney P K. A tracking algorithm for maneuveringtargets[J]. IEEE Trans, on AES , 1993,29(3) : 910 ~ 924.
  • 5Whang I H,Lee J,Sung T. Modified input estimation techniqueusing pseudo-residuals[J]. IEEE Trans, on AES,1994,30(1):220 -228.
  • 6Li X R,Jilkov V P. A survey of maneuvering target tracking-partIV: decision-based methods[C] // Proc. of SPIE Conference Signaland Data Processing of Small Targets ,2002,4728;511 - 534.
  • 7盛琥,李晓明,齐建文,张帆.基于新息序列修正的输入估计算法[J].系统工程与电子技术,2009,31(9):2121-2124. 被引量：4
  • 8盛琥,杨景曙,曾芳玲,张帆.引入输入估计的交互式多模跟踪算法[J].电子学报,2009,37(12):2810-2814. 被引量：12
  • 9Song L P, Ji H B. Modified input estimation with interacting fa-ding memory for maneuvering target tracking[C] // Proc. of the2nd International Conference on Signal Processing Systems,2010:448 -451.
  • 10Ben Hmida F,Ragot J, Three-stage Kalman filter for state and faultestimation of linear stochastic systems with unknown inputs [J].Journal of the Franklin Institute,2012, 349(7) : 2369 - 2388.

二级参考文献14

  • 1乔向东.信息融合系统中目标跟踪技术研究[D].西安:西安电子科技大学,2004.
  • 2Li X R, Jilkov Vesselin P. A survey of maneuvering target tracking-part IV: decision-based methods[C]//Proc, of SPIE Conference on Signal and Data Processing of Small Targets, 2002: 4728-4760.
  • 3Chan Y T, Hu A G C, Plant J B. A Kalman filter based tracking scheme with input estimation [J]. IEEE Trans. on AES, 1979, 15(2) :237 - 244.
  • 4Bogler P L. Tracking a maneuvering target using input estima tion[J]. IEEETrans. onAES, 1987,23(3) :298-310.
  • 5Whang H, Lee J, Sung T. Modified input estimation technique using pseudo residuals[J]. IEEE Trans. on AES, 1994,30 (1) 220 - 228.
  • 6Lee H, Tahk M J. Generalized input estimation technique for tracking maneuvering targets [J]. IEEE Trans. on AES, 1999,35(4) :1388 - 1402.
  • 7Zhang R C, Cui P Y. An innovation filtering multiple model algorithm for integrated navigation system[C]//Proc, of the 1st Inter national Conference on Innovative Computing, Information and Control, 2006:394 - 397.
  • 8CHAN Y T, HU A G C, J B Plant. A kalman filter based tracking scheme with input estimation [ J ]. IEEE Trans on AES, 1979,AES - 15(2) :237 - 244.
  • 9LI X R. A survey of maneuvering target tracking- Part iv:decision-based methods[ A ]. Proceedings of SHE Conference on Signal and Data Processing of Small Targets[ C]. New York: Academic Press, 2002.4728 - 4760.
  • 10H A P Blom, BAR Shalom. The interacting multiple model algorithm for systems with markovian switching coefficients[J]. IEEE Trans on AC, 1988,33(8) :780 - 783.

共引文献43

同被引文献59

  • 1韩崇昭,朱洪艳,段战胜,等.多源信息融合[M].2版.北京:清华大学出版社,2010.
  • 2LI X R, JILKOV V P. A survey of maneuvering target track- ing, part VIc: approximate nonlinear density filtering in dis- crete time [ C 1// Signal and Data Processing of Small Tar- gets. Maryland: SPIE, 2012: 564-576.
  • 3JULIER S J, UHLMANN J K. Reduced sigma point filters for the propagation of means and covariances through nonlin- ear transformations [ C ]//Proceedings of the 2002 American Control Conference. [ S. 1. ] : IEEE Press, 2002 : 887-892.
  • 4ARASARATNAM I, HAYKIN S. Cubature Kalman filtering for continuous-discrete systems : theory and simulations [J]. IEEE Transactions on Signal Processing, 2010, 58 (10): 1254-1269.
  • 5ARULAMPALAM M S, MASKELL S, GORDON N, et al. A tutorial on particle filters for online nonlinear/non-Gaussi-an Bayesian tracking[Jl. IEEE Transactions on Signal Pro- cessing, 2002, 50(2) : 174-188.
  • 6JUNSEOK K, KYOUNG M L. Wang-Landau Monte Carlo- based tracking methods for abrupt motions[J]. IEEE Trans- actions on Pattern Analysis and Machine Intelligence, 2013, 35(4) : 1011-1024.
  • 7KIM J W, VADDI S S, MENON P K, et al. Comparison between nonlinear filtering techniques for spiraling ballistic missile state estimation [ J ]. IEEE Transactions on AES, 2012, 48(1) : 313-328.
  • 8LI T, SATI'AR T, SUN S. Deterministic resampling: unbi- ased sampling to avoid sample impoverishment in particle filters[ J]. Signal Processing, 2012, 92(7) : 1637-1645.
  • 9LERRO D, BAR-SHALOM Y. Tracking with debiased consistent converted measurements vs EKF [J].IEEE Transactions on AES, 1993, 29(3) : 1015-1022.
  • 10MO L B, SONG X Q, ZHOU Y Y, et al. Unbiased conver- ted measurements for tracking [ J ]. IEEE Transactions on AES, 1998, 34(3) :1023-1027.

引证文献7

二级引证文献13

系统工程与电子技术
2015年 第1期

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部