Adaptive target altitude estimation using multipath for 2D radar on spherical earth

This paper presents an adaptive target altitude estimation approach based on multipath detections from a 2D airborne radar. An adaptive multiple model iterated least squares (AMM-ILS) estimator is developed to cope with two challengers of this estimation problem: 1) unknown measurement noise variance for the reflected path; 2) inexistence of an analytical measurement function that relates the target parameters (to be estimated) and the radar measurements. A new method is presented for the numerical evaluation of the Jacobian of the measurement function. Simulation results are presented to demonstrate the estimator's performance under various conditions. The results show that the AMM-ILS estimator yields efficient estimates which are close to their Cramer Rao lower bounds (CRLB).

[1]  Zheng Bao,et al.  Multipath signal resolving and time delay estimation for high range resolution radar , 2005, IEEE International Radar Conference, 2005..

[2]  P. Phu,et al.  Multipath height finding in the presence of interference , 2007, 2007 IEEE Antennas and Propagation Society International Symposium.

[3]  T. Kirubarajan,et al.  Tracker and signal processing for the benchmark problem with unresolved targets , 2006, IEEE Transactions on Aerospace and Electronic Systems.

[4]  Rong Yang,et al.  The linear fitting Kalman filter for nonlinear tracking , 2015, 2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR).

[5]  Wenxian Yu,et al.  Target height finding in narrowband ground-based 3D surveillance radar using beamspace approach , 2009, 2009 IEEE Radar Conference.

[6]  Thomas B. Schön,et al.  2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015 , 2016 .

[7]  Jeffrey K. Uhlmann,et al.  New extension of the Kalman filter to nonlinear systems , 1997, Defense, Security, and Sensing.

[8]  C.D. Berube,et al.  Target Height Estimation using Multipath Over Land , 2007, 2007 IEEE Radar Conference.

[9]  Thia Kirubarajan,et al.  Estimation with Applications to Tracking and Navigation: Theory, Algorithms and Software , 2001 .