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Content Provider | IET Digital Library |
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Author | Liu, Shulin Chen, Xinliang Zeng, Tao Zheng, Le |
Abstract | Maintaining the constant false alarm rate (CFAR) is an important issue for the dynamic programming-based track-before-detect (DP-TBD) in low signal-to-noise ratio environment. However, the existing method for analysing the false alarm probability, based on extreme value theory (EVT), leads to the inaccuracy of the obtained detection threshold. In this study, a new analytical approach to compute the false alarm probability of DP-TBD is presented. In the proposed method, the generalised Pareto distribution is utilised to approximate the false alarm probability based on the peaks over threshold model, which can maintain CFAR for DP-TBD method in the low signal-to-noise environment effectively. Simulation results show that this approach provides a more accurate false alarm probability estimation than previous EVT methods. |
Starting Page | 773 |
Ending Page | 779 |
Page Count | 7 |
ISSN | 17518784 |
Volume Number | 7 |
e-ISSN | 17518792 |
Issue Number | Issue 7, Aug (2013) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-rsn/7/7 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2012.0172 |
Journal | IET Radar, Sonar & Navigation |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | Approximation Theory CFAR Constant False Alarm Rate DP-TBD Dynamic Programming Dynamic Programming Track-before-detect Algorithm EVT Extreme Value Theory False Alarm Probability Estimation Generalised Pareto Distribution Interpolation And Function Approximation Numerical Analysis Object Tracking Optimisation Technique Pareto Distribution Peaks Over Threshold Model Probability Signal Detection Signal Processing Theory Signal-to-noise Ratio Environment Statistics |
Content Type | Text |
Resource Type | Article |
Subject | Electrical and Electronic Engineering |
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