tailieunhanh - Báo cáo hóa học: " Research Article A Comparison of Detection Performance for Several Track-before-Detect Algorithms"

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 A Comparison of Detection Performance for Several Track-before-Detect Algorithms | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2008 Article ID 428036 10 pages doi 2008 428036 Research Article A Comparison of Detection Performance for Several Track-before-Detect Algorithms Samuel J. Davey Mark G. Rutten and Brian Cheung Intelligence Surveillance and Reconnaissance Division Defence Science and Technology Organisation P. O. Box 1500 Edinburgh SA 5111 Australia Correspondence should be addressed to Samuel J. Davey Received 30 March 2007 Revised 20 August 2007 Accepted 8 October 2007 Recommended by Yvo Boers A typical sensor data processing sequence uses a detection algorithm prior to tracking to extract point measurements from the observed sensor data. Track before detect TBD is a paradigm which combines target detection and estimation by removing the detection algorithm and supplying the sensor data directly to the tracker. Various different approaches exist for tackling the TBD problem. This article compares the ability of several different approaches to detect low amplitude targets. The following algorithms are considered in this comparison Bayesian estimation over a discrete grid dynamic programming particle filtering methods and the histogram probabilistic multihypothesis tracker. Algorithms are compared on the basis of detection performance and computation resource requirements. Copyright 2008 Samuel J. Davey et al. 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 tracking algorithms are designed assuming that the sensor provides a set of point measurements at each scan. The tracking algorithm links measurements across time and estimates parameters of interest. However a practical sensor may provide a data image where each pixel corresponds to the received power in a .