tailieunhanh - Báo cáo hóa học: " Research Article Track-before-Detect Using Swerling"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Track-before-Detect Using Swerling | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2008 Article ID 326259 9 pages doi 2008 326259 Research Article Track-before-Detect Using Swerling 0 1 and 3 Target Models for Small Manoeuvring Maritime Targets Michael McDonald and Bhashyam Balaji Surveillance Radar Group Defence R D Canada 3701 Carling Avenue Ottawa ON Canada K1A 0Z4 Correspondence should be addressed to Michael McDonald Received 13 April 2007 Revised 25 September 2007 Accepted 26 December 2007 Recommended by Lawrence Stone Real-radar data containing a small manoeuvring boat in sea clutter is processed using a finite difference FD implementation of continuous-discrete filtering with a four-dimensional constant velocity model. Measurement data is modelled assuming a Rayleigh sea clutter model with embedded Swerling 0 1 or 3 target signal models. The results are examined to obtain a qualitative understanding of the effects of using the different target models. The Swerling 0 model is observed to exhibit a heightened sensitivity to changes in measured signal strength and provides enhanced detection of the maritime target examined at the cost of more peaked or multimodal posterior density in comparison with Swerling 1 and 3 targets. Copyright 2008 M. McDonald and B. Balaji. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. INTRODUCTION Traditional approaches to detecting and tracking maritime targets typically rely on a multiphase strategy in which target detections are fed to a Kalman-filter-based tracker. This is commonly combined with a simple linear track-before-detect TkBD scheme to provide noncoherent integration prior to the final detection step. For highly manoeuvrable targets the above approach provides poor performance due to the failure of the target .

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