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| 1 | Two adaptive detectors for range-spread targets in non-Gaussian clutter显示文摘This paper addresses adaptive detection of range-spread target in spherically invariant random vector clutter. Based on the nonadaptive detectors of NSDD-GLRT and SDD-GLRT, two adaptive detectors named ANSDD-GLRT and ASDD-GLRT are devised by replacing the unknown normalized clutter covariance matrix with the sample covariance matrix based on the secondary data. The formulas of detection probability and false alarm probability are deduced. Moreover, the constant false alarm rate properties of both adaptive detectors are assessed and the inffuence of mismatched steering vector on detection probability is analyzed. The experimental results show that the adaptive detectors have an acceptable loss with respect to the nonadaptive counterparts. Furthermore, the ANSDD-GLRT converges much faster than the ASDD-GLRT, however, the latter rejects the misaligned signals more effectively. Both detectors perform well for the uniformly-distributedenergy target, but degenerate for the fluctuating targets. In addition, the correlation between target scatterers results in an additional gain for low signal-to-clutter power ratio. | HE You JIAN Tao SU Feng PING DianFa | 2011 | Science China(Information Sciences)2011，54，2： | 10 |
| 2 | CFAR assessment of covariance matrix estimators for non-Gaussian clutter显示文摘In the non-Gaussian clutter modeled as independent and identically distributed spherically invariant random vectors, three estimators of sample covariance matrix (SCM), normalized sample covariance matrix (NSCM) and the corresponding recursive estimator (NSCM-RE) are analyzed. Based on the uniform theorem, three corresponding adaptive normalized matched filters (ANMF) are evaluated from the standpoint of constant false alarm rate (CFAR) property. The theoretical results demonstrate that the SCM-ANMF is only CFAR to the normalized clutter covariance matrix (NCCM); the NSCM-ANMF is only CFAR to the clutter power level; and the NSCM-RE-ANMF with finite number of iterations is still not CFAR to the NCCM. To ensure CFAR property of ANMF, an adaptive estimator (AE) is devised. Moreover, with AE as the initialization matrix for the iterations, the AE-RE is proposed. With finite number of iterations, the corresponding AE-REANMF guarantees CFAR property to both of the NCCM and the clutter power level. Finally, the performance assessment conducted by Monte Carlo simulation confirms the effectiveness of the proposed detectors. | HE You, JIAN Tao, SU Feng, QU ChangWen & PING DianFa Research Institute of Information Fusion, Naval Aeronautical and Astronautical University, Yantai 264001, China | 2010 | Science China(Information Sciences)2010，53，11： | 8 |
| 3 | High resolution radar target adaptive detector and performance assessment显示文摘The high resolution radar target detection is addressed in the non-Gaussian clutter. An adaptive detector is derived for range-spread target based on a novel covariance matrix estimator. It is proved that the new detector is constant false alarm rate (CFAR) to both of the clutter covariance matrix structure and power level theoretically for match cases. The simulation results show that the new detector is almost CFAR for mismatch cases, and it outperforms the existing adaptive detector based on the sample covariance matrix. It also shows that the detection performance improves, as the number of pulses, the number of secondary data or the clutter spike increases. In addition, the derived detector is robust to different subsets, estimated clutter group sizes and correlations of clutter. Importantly, the number of iterations for practical application is just one. | Tao Jian You He Feng Su Changwen Qu Dianfa Ping | 2011 | Journal of Systems Engineering and Electronics2011，22，2： | 7 |
| 4 | Robust detector for range-spread targets in non-Gaussian background显示文摘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.Secondly,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 effectively.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 indicate that the DBSD is robust to different clutter one-lag correlations and target scatterer densities.It is also shown that the DBSD outperforms the existing scatterer-density-dependent detector. | Tao Jian You He Feng Su Dianfa Ping Xiaodong Huang | 2012 | Journal of Systems Engineering and Electronics2012，23，3： | 5 |
| 5 | Fast Converging Estimator for Covariance Matrix Structure of Compound-Gaussian Clutter显示文摘 | JIAN Tao HE You SU Feng PING Dianfa GU Xinfeng | 2010 | Chinese Journal of Electronics2010，19，3： | 2 |
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