Identification of Sweep Jammer Based on Energy-azimuth Feature for Acoustic Homing Torpedo
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摘要: 扫频干扰器是对抗水下声自导鱼雷目标检测的重要干扰器材之一。为了提高声自导鱼雷对扫频干扰器的识别能力, 文中分析了扫频干扰器对水下目标检测的干扰机理, 根据目标识别时声自导鱼雷接收到的扫频信号能量与方位特征参数, 提出了一种基于能量与方位特征联合识别扫频干扰器的方法, 通过对鱼雷接收到的信号进行数字化处理, 提取接收信号的能量与方位特征, 并对2个特征参数值进行加权数据融合, 利用融合结果进行目标识别。该方法采用主动检测方式, 并综合2个特征参数进行识别判断, 改善了采用单特征参数进行识别可能造成误判的不足, 增加了识别的可靠性。仿真验证了文中方法的有效性。Abstract: A sweep jammer is one of the main jammers that countermeasures underwater acoustic homing torpedoes during target identification. To improve the identification ability of the sweep jammer for acoustic homing torpedoes, the jamming mechanism of the sweep jammer in target detection is analyzed according to the particular sweep signal in its energy and azimuth feature parameters, which are received by the torpedo. Based on the analysis, a method combining the energy and azimuth features to identify the sweep jammer is proposed, and the energy and azimuth features are extracted through the digital processing of signals received by the torpedo, and jammer identification is performed based on the result of weighted fusion with these two feature parameters. This is an active detection method that overcomes the disadvantage of using a single parameter to identify and increases the reliability of jammer identification with the combined judgment of these two feature parameters. The effectiveness of this method is verified by establishing a model to simulate real signals received by an acoustic homing torpedo.
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Key words:
- torpedo /
- sweep jammer /
- energy feature /
- azimuth feature /
- data fusion
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