New analytical approach to detection threshold of a dynamic programming track-before-detect algorithm

Shulin Liu, Xinliang Chen*, Tao Zeng, Le Zheng

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

33 引用 (Scopus)

摘要

Maintaining the constant false alarm rate (CFAR) is an important issue for the dynamic programming-based trackbefore- 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.

源语言英语
页(从-至)773-779
页数7
期刊IET Radar, Sonar and Navigation
7
7
DOI
出版状态已出版 - 2013

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