期刊文献+

Multiframe weak target track-before-detect based on pseudo-spectrum in mixed coordinates 被引量:1

原文传递
导出
摘要 Traditional multiframe Track-Before-Detect(TBD)may incur adverse integration loss resulting from model mismatch in sensor coordinates.Its suboptimal integration strategy may cause target envelope degradation.To address these issues,a pseudo-spectrum-based multiframe TBD in mixed coordinates is proposed firstly.The data search for energy integration is conducted based on an accurate model in the x-y plane while target energy is integrated based on pseudo-spectrum in sensor coordinates.The algorithm performance is improved since the model mismatch is eliminated,and the pseudo-spectrum based integration facilitates well maintained target envelope.The detailed multiframe integration procedure and theoretical target integrated envelope are derived.Secondly,to cope with the unknown target velocity,a velocity filter bank based on pseudo-spectrum in mixed coordinates is proposed.The effect of velocity mismatch on algorithm performance is analyzed and an efficient method for filter bank design is presented.Thirdly,a parameter estimation method using characteristics of integrated envelope is presented for improved target polar position and Cartesian velocity estimation.Finally,numerical results are provided to demonstrate the effectiveness of the proposed method.
出处 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2022年第5期97-113,共17页 中国航空学报(英文版)
基金 supported by the National Natural Science Foundation of China(No.61671181)。
  • 相关文献

参考文献3

二级参考文献32

  • 1Streit R L, Graham M L, Walsh M J. Multitarget tracking of distributed targets using histogram-PMHT. Digital Signal Processing 2002; 12(2-3): 394-404.
  • 2Efe M, Parkfiliz A G. Multi-target tracking in clutter with histogram probabilistic multi-hypothesis tracker. International Conference on Systems Engineering. 2005; 137-142.
  • 3Boers Y, Driessen H. A particle filter based detection scheme. IEEE Signal Processing Letters 2003; 10(10): 300-302.
  • 4Rutten M G, Gordona N J, Maskell S. Efficient particle-based track-before-detect in Rayleigh noise. The 7th International Conference on Information Fusion. 2004; 693-700.
  • 5Salmond D J, Birch H. A particle filter for track-before-detect. Proceedings of American Control Conference. 2001; 3755-3760.
  • 6Boers Y, Driessen J N. Multitarget particle filter track before detect application. IEE Proceedings—Radar, Sonar and Navigation 2004; 151(6): 351-357.
  • 7Davey S J, Rutten M G. A comparison of three algorithms for tracking dim targets. International Conference on Information, Decision and Control. 2007: 342-347.
  • 8Kirubarajan T, Barshalom Y. Probabilistic data association techniques for target tracking in clutter. Proceedings of IEEE 2004; 92(3): 536-557.
  • 9Pertil P. A track before detect approach for sequential Bayesian tracking of multiple speech sources. International Conference on Acoustics Speech and Signal Processing. 2010; 4974-4977.
  • 10Buzzi S, Lops M, Venturino L. Track-before-detect procedures for early detection of moving target from airbone radars. IEEE Transactions on Aerospace and Electronic Systems 2005; 41(3): 937-954.

共引文献32

同被引文献5

引证文献1

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