@inproceedings{08874a39aa0e411e91b0366e0e050dfb,
title = "Presegmentation-based two-parameter detector in complex environment for HFSWR",
abstract = "Common tasks of High-Frequency Surface Wave Radars (HFSWRs) are long-range ocean state monitoring and maritime surveillance for surface vessel detection. Heterogeneous background composed of sea clutter, external noise and other kind of clutter, the application of the classical Constant False Alarm Rate (CFAR) algorithms results in a high probability of false alarm and poor detection performance. This paper presents a new CFAR detector based on two-parameter CFAR algorithm with data pre-processing and pre-segmentation. Real data and simulation are used to test the performance of the proposed method, which has significant improvement in such complex environment.",
keywords = "Constant False Alarm Rate detection, Detector, HFSWR, Target detection",
author = "Yang Li and Longshan Wu and Ning Zhang and Yi Yang and Tianyun Yang",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 CIE International Conference on Radar, RADAR 2016 ; Conference date: 10-10-2016 Through 13-10-2016",
year = "2017",
month = oct,
day = "4",
doi = "10.1109/RADAR.2016.8059372",
language = "英语",
series = "2016 CIE International Conference on Radar, RADAR 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2016 CIE International Conference on Radar, RADAR 2016",
address = "美国",
}