Target Turning Maneuver Detection using High Resolution Doppler Profile

Target turning maneuvering is always accompanied with the rapid attitude variations, which are helpful to achieve high cross-range resolution for pulsed coherent radar. Thus, it is feasible to detect target turning maneuver using the high resolution Doppler profile (HRDP). The preliminaries concerning the HRDP are first introduced, including its formulation, extraction requirements, and procedure. The principle of turning maneuver detection using the HRDP is then fully explored. A novel detector is developed based on the back propagation (BP) neural network. Two novel indices for performance evaluation are proposed. Finally, a simulation environment with software tools capable of generating target dynamic echoes with realistic features is developed. The simulation results demonstrate that the proposed detector performs better than the other three up-to-date feature-based detectors as a whole.

[1]  D.F. Bizup,et al.  Maneuver detection using the radar range rate measurement , 2004, IEEE Transactions on Aerospace and Electronic Systems.

[2]  Xing Meng.  One dimensional corss range imaging and the method of improving resolution for a low resolution radar target , 2000 .

[3]  Genshe Chen,et al.  A range rate based detection technique for tracking a maneuvering target , 2005, SPIE Optics + Photonics.

[4]  Hao Ling,et al.  Time-Frequency Transforms for Radar Imaging and Signal Analysis , 2002 .

[5]  Fu Qiang.  Survey of algorithms of target maneuver detection , 2009 .

[6]  V. C. Chen,et al.  Time-varying spectral analysis for radar imaging of manoeuvring targets , 1998 .

[7]  E. J. Hughes,et al.  Target manoeuvre detection using radar glint , 1998 .

[8]  F. Berizzi,et al.  Autofocusing of inverse synthetic aperture radar images using contrast optimization , 1996, IEEE Transactions on Aerospace and Electronic Systems.

[9]  V. Jilkov,et al.  Survey of maneuvering target tracking. Part V. Multiple-model methods , 2005, IEEE Transactions on Aerospace and Electronic Systems.

[10]  X. Rong Li,et al.  A Survey of Maneuvering Target Tracking—Part IV: Decision-Based Methods , 2002 .

[11]  S. Haykin,et al.  Signal detection in a nonstationary environment reformulated as an adaptive pattern classification problem , 1998, Proc. IEEE.

[12]  Wang Shu-wen.  Profile Modeling Technology of Moni-pulse Radar Seeker , 2003 .

[13]  Fan Hongqi,et al.  Frame-overlapped Zoom-FFT Optimization in PD Radar Application , 2006, 2006 CIE International Conference on Radar.

[14]  A.T. Alouani,et al.  A multisensor tracking system with an image-based maneuver detector , 1994, Proceedings of 1994 American Control Conference - ACC '94.

[15]  Jifeng Ru,et al.  Detection of Target Maneuver Onset , 2009, IEEE Transactions on Aerospace and Electronic Systems.

[16]  Qiang Fu,et al.  Impact of Mode Decision Delay on Estimation Error for Maneuvering Target Interception , 2011, IEEE Transactions on Aerospace and Electronic Systems.

[17]  Chun Yang,et al.  Estimating target range-Doppler image slope for maneuver indication , 2008, SPIE Defense + Commercial Sensing.

[18]  Vesselin P. Jilkov,et al.  Survey of maneuvering target tracking: decision-based methods , 2002, SPIE Defense + Commercial Sensing.

[19]  E. J. Hughes,et al.  Radar cross section modelling using genetic algorithms , 2009 .

[20]  Xing Meng-dao.  Resolving multiple targets of the low resolution radar , 2001 .

[21]  David D. Sworder,et al.  Maneuver estimation using measurements of orientation , 1990 .

[22]  John W. Fisher,et al.  Target discrimination in synthetic aperture radar using artificial neural networks , 1998, IEEE Trans. Image Process..

[23]  Chun Yang,et al.  A simple maneuver indicator from target’s range-doppler image , 2007, 2007 10th International Conference on Information Fusion.

[24]  Huang Pei-kang.  Study on the frequency profile modeling technology of the MMW radar seeker , 2008 .