Hypersonic sliding target tracking in near space

Abstract To improve the tracking accuracy of hypersonic sliding target in near space, the influence of target hypersonic movement on radar detection and tracking is analyzed, and an IMM tracking algorithm is proposed based on radial velocity compensating and cancellation processing of high dynamic biases under the earth centered earth fixed (ECEF) coordinate. Based on the analysis of effect of target hypersonic movement, a measurement model is constructed to reduce the filter divergence which is caused by the model mismatch. The high dynamic biases due to the target hypersonic movement are approximately compensated through radial velocity estimation to achieve the hypersonic target tracking at low systematic biases in near space. The high dynamic biases are further eliminated by the cancellation processing of different radars, in which the track association problem can be solved when the dynamic biases are low. An IMM algorithm based on constant acceleration (CA), constant turning (CT) and Singer models is used to achieve the hypersonic sliding target tracking in near space. Simulation results show that the target tracking in near space can be achieved more effectively by using the proposed algorithm.

[1]  Xiong Wei.  Track Alignment-Correlation Technique Based on Phase Correlation , 2010 .

[2]  A. M. Prasad,et al.  ECG Abnormalities Detection Using Doppler Shift Method , 2014, 2014 Fourth International Conference on Advanced Computing & Communication Technologies.

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

[4]  Liu Hong-tian.  Time-shortest Trajectory Optimization for Hypersonic Vehicle , 2007 .

[5]  T. Hatsuda,et al.  Diversity systems comparison of satellite visibility improvement for designing mobile broadcasting satellite system , 2006, IEEE Transactions on Antennas and Propagation.

[6]  Xiangyu Zhang,et al.  Effect of biased estimation on radar-to-ESM track association , 2012 .

[7]  Guohong Wang,et al.  Resolution and parameters estimations for multiple maneuvering targets , 2014, Science China Information Sciences.

[8]  Michael A. Saville,et al.  Rethinking vehicle classification with wide-angle polarimetric SAR , 2014, IEEE Aerospace and Electronic Systems Magazine.

[9]  He You.  Mobile Platform Sensor Registration Algorithm Based on MLR , 2012 .

[10]  Wang Hong.  Near Space Hypersonic Target MCT Tracking Model , 2013 .

[11]  LI X.RONG,et al.  Survey of Maneuvering Target Tracking. Part II: Motion Models of Ballistic and Space Targets , 2010, IEEE Transactions on Aerospace and Electronic Systems.

[12]  Qun Zong,et al.  Flight control for a flexible air-breathing hypersonic vehicle based on quasi-continuous high-order sliding mode , 2013 .

[13]  Alessandro Foi,et al.  Ieee Transactions on Image Processing a Closed-form Approximation of the Exact Unbiased Inverse of the Anscombe Variance-stabilizing Transformation , 2022 .

[14]  Ming,et al.  Expectation-maximization (EM) Algorithm Based on IMM Filtering with Adaptive Noise Covariance 1) , 2006 .

[15]  Dou Liqian.  Ascent Phase Trajectory Optimization for Near Space Vehicle Based on Gauss Pseudospectral Method , 2010 .

[16]  Na Wang,et al.  Joint range ambiguity resolving and multiple maneuvering targets tracking in clutter via MMPHDF-DA , 2013, Science China Information Sciences.

[17]  Yu Xie,et al.  Dynamics modeing and maneuverability analysis of a near-space earth observation platform , 2011, Proceedings of 5th International Conference on Recent Advances in Space Technologies - RAST2011.

[18]  G. H. Wang,et al.  Optimized bias estimation model for 3-D radar considering platform attitude errors , 2012, IEEE Aerospace and Electronic Systems Magazine.

[19]  Chen Lei.  Adaptive Kalman Filtering for Trajectory Estimation of Hypersonic Glide Reentry Vehicles , 2013 .

[20]  Jocelyn Chanussot,et al.  Detection of Anomalies Produced by Buried Archaeological Structures Using Nonlinear Principal Component Analysis Applied to Airborne Hyperspectral Image , 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.