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一种舰船目标检测及状态识别算法研究

A Kind of Ship Target Detection and State Recognition Algorithm
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摘要 本算法对舰船目标进行LOFAR频谱的分析,采用线谱幅度过门限次数连续积分的方式作为判定准则,能够准确的发现目标以及确定目标航行状态,并能够抑制海洋环境噪声、外部不明噪声或者连续性不强的噪声对检测及识别目标航行状态的影响,实现对海上或湖上目标声学监测和自动识别,检测目标有无及目标航行状态。 The algorithm is based on the LOFAR spectral analysis of ship targets, by using the line spectrum amplitude threshold amount of continuous integral way as criterion. The algorithm can help find the target accurately and determine the status of the target. When detecting and identifying the state of the target, it can restrain the influence of the marine environmental noise or external unknown noises or weak discontinuity noises to achieve acoustic monitoring and automatic identification of ships in the sea or in the lake and detect the target ship and its navigational status.
作者 匡锐
出处 《科技广场》 2016年第7期4-7,共4页 Science Mosaic
关键词 LOFAR 目标检测 状态识别 LOFAR Target Detection State Identification
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