期刊文献+

Robust detector for range-spread targets in non-Gaussian background 被引量:5

Robust detector for range-spread targets in non-Gaussian background
下载PDF
导出
摘要 Based on the target scatterer density, the range-spread target detection of high-resolution radar is addressed in additive non-Gaussian clutter, which is modeled as a spherically invariant random vector. Firstly, for sparse scatterer density, the detection of target scatterer in each range cell is derived, and then an M/K detector is proposed to detect the whole range-spread target. Se- condly, an integrating detector is devised to detect a range-spread target with dense scatterer density. Finally, to make the best of the advantages of M/K detector and integrating detector, a robust detector based on scatterer density (DBSD) is designed, which can reduce the probable collapsing loss or quantization error ef- fectively. Moreover, the density decision factor of DBSD is also determined. The formula of the false alarm probability is derived for DBSD. It is proved that the DBSD ensures a constant false alarm rate property. Furthermore, the computational results indi- cate that the DBSD is robust to different clutter one-lag correlations and target scatterer densities. It is also shown that the DBSD out- performs the existing scatterer-density-dependent detector. Based on the target scatterer density, the range-spread target detection of high-resolution radar is addressed in additive non-Gaussian clutter, which is modeled as a spherically invariant random vector. Firstly, for sparse scatterer density, the detection of target scatterer in each range cell is derived, and then an M/K detector is proposed to detect the whole range-spread target. Se- condly, an integrating detector is devised to detect a range-spread target with dense scatterer density. Finally, to make the best of the advantages of M/K detector and integrating detector, a robust detector based on scatterer density (DBSD) is designed, which can reduce the probable collapsing loss or quantization error ef- fectively. Moreover, the density decision factor of DBSD is also determined. The formula of the false alarm probability is derived for DBSD. It is proved that the DBSD ensures a constant false alarm rate property. Furthermore, the computational results indi- cate that the DBSD is robust to different clutter one-lag correlations and target scatterer densities. It is also shown that the DBSD out- performs the existing scatterer-density-dependent detector.
出处 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2012年第3期355-363,共9页 系统工程与电子技术(英文版)
基金 supported by the National Natural Science Foundation of China (61102166) the Scientific Research Foundation of Naval Aeronautical and Astronautical University for Young Scholars (HY2012)
关键词 non-Gaussian clutter range-spread target robust de- tection quantization error collapsing loss target scatterer. non-Gaussian clutter, range-spread target, robust de- tection, quantization error, collapsing loss, target scatterer.
  • 相关文献

参考文献4

二级参考文献5

共引文献20

同被引文献34

  • 1简涛,苏峰,何友,曲长文.针对拖尾噪声的中值滤波—小波消噪算法分析[J].信号处理,2007,23(1):79-82. 被引量:3
  • 2Conte E, Antonio D M, Ricci G. GLRT-based adaptive detec- tion algorithms for range-spread targets [J]. IEEE Trans. on Signal Processing, 2001,47(7) : 1336 - 1348.
  • 3Bon N, Kheneharf A, Garello R. GLRT subspace detection for range and Doppler distributed targets[J]. IEEE Trans. onAero- space Electronic Systems ,2008,44(2) :678 - 696.
  • 4Jian T, He Y, Su F, et al. Adaptive range-spread target detec- tion based on modified generalised likelihood ratio test in non- Gaussian clutter[J]. IET Radar Sonar & Navigation Proceesing , 2011,5(9) :970 - 977.
  • 5Jian T, He Y, Su F, et al. Cascaded detector for range-spread target in non-Gaussian elutter[J]. IEEE Trans. on Aerospace and Electronic Systems ,2012,48(2) :1713 - 1725.
  • 6Dai F Z, Ltu H W, Shut P f., et aL Adaptive detection of wideband radar range spread targets with range walking in clutter[J]. IEEE Trans. on Aerospace and Electronic Systems, 2012, 48 (3) : 2052 - 2064.
  • 7Xu S W, Shui P L. Range-spread target detection in white Gaussian noise via two-dimensional non-linear shrinkage map and geometric average integration[J], lET Radar, Sonar Navi- gation Proceesing ,2012,6(2) :90 - 98.
  • 8Shut P L, Xu S W, Liu H W. Range spread target detection using consecutive HRRPs[J]. IEEE Trans. on Aerospace andElectronic Systems, 2011,47 (1) : 647 - 665.
  • 9Zuo L, Li M, Zhang X. CFAR detection of range spread tar- gets based on the time frequency decomposition feature of two adjacent returned signals[J]. IEEE Trans. on Signal Proces- sing,2013,61(4) :6307 - 6319.
  • 10Wang P, Li H, Kavala T R, et al. Generalised parametric rao test for multi-channel adaptive detection of range-spread targets[J]. IET Signal Processing ,2012,6(5) :404 - 412.

引证文献5

二级引证文献3

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