基于信号特征的舰船轴频电场检测改进算法

李 越; 张伽伟; 程锦房

doi:10.11993/j.issn.2096-3920.2019.04.006

基于信号特征的舰船轴频电场检测改进算法

doi: 10.11993/j.issn.2096-3920.2019.04.006

海军工程大学兵器工程学院, 湖北武汉, 430033

基金项目: 国家自然科学基金项目资助(51509252)

详细信息

作者简介:
李越(1995-), 男, 在读硕士, 主要研究方向为军用目标特性及信息感知技术.

中图分类号: TJ6; TP274.5; TN911.6
计量
- 文章访问数: 558
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- 被引次数: 0
出版历程
- 收稿日期: 2019-01-20
- 修回日期: 2019-03-06
- 刊出日期: 2019-08-31

Improved Detection Algorithm of Ship’s Shaft-Frequency Electric Field Based on Signal Features

College of Weaponry Engineering, Naval University of Engineering, Wuhan 430033, China

摘要

摘要: 为了能够在较低的信噪比下提高目标的检测概率, 降低检测的虚警率和漏警率, 文中依据实测舰船目标的水下轴频电场数据, 对不同舰船的轴频电场信号进行了深入分析。针对轴频电场信号及环境电场噪声信号在时域及频域特点的不同, 对原有的一种基于信号特征的舰船轴频电场信号检测算法从线谱识别和检测判据等方面进行了改进, 同时采用Welch法替换原有功率谱估计方法, 降低了运算量, 使算法更具实时性。通过对不同情况下仿真信号和不同舰船类型的实测信号的检测可知, 运用该算法可在较低信噪比下实现目标检测, 从而满足了提高检测概率、降低虚警率的需求。该算法适用于水雷等打击精度较高的水中兵器。
- 舰船 /
- 轴频电场 /
- 信号特征 /
- 线谱检测
Abstract: To improve the detection probability of a target and reduce the rates of false alarm and missed alarm at lower signal-to-noise ratio(SNR), the shaft-frequency electric field signals of different ships are analyzed based on the measured underwater shaft-frequency electric field data. According to the features of the shaft-frequency electric field signal and the environmental electric field noise signal in time domain and frequency domain, the current detection algorithm of ship’s shaft-frequency electric field based on signal features is improved in terms of line spectrum identification and detection criteria. And the Welch method is employed to replace the original power spectrum estimation method. Thus, the improved algorithm needs less amount of calculation and is more real-time. Analysis on the simulated signals under different conditions and the measured signals of different types of ships shows that the improved algorithm realizes target detection at lower SNR, and satisfies the need to increase the probability of detection and reduce the false alarm rate. This algorithm is more suitable for water weapons with high precision, such as mine.
- ships /
- shaft-frequency electric field /
- signal feature /
- line spectrum detection

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参考文献(22)

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