A New Method of Passive Homing Feature Extraction Based on Target Moving Information
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摘要: 低频被动自导是鱼雷提高作用距离的有效手段,但被动自导的抗干扰能力差是制约其应用的主要瓶颈,目前主要的被动特征提取方法集中在功率谱特征的提取,但随着对抗器材的发展,功率谱特征很容易被模拟。本文针对被动自导识别提出了一种新的基于目标运动信息的特征提取方法,即交点距法。该方法利用多点方位线交点的距离判断目标是否静止,仿真试验给出的性能分析表明,这种方法能够有效地识别动目标和静目标,从而排除悬浮式诱饵的干扰,提高了被动自导的反对抗能力。Abstract: Low frequency passive homing is an effective measure of improving torpedo acceptance range. However, its weak interference suppression is a main bottleneck in application of passive homing system. Power spectrum extraction is the main feature extraction method at present, but power spectrum feature is easy to be simulated with the development of countermeasure. We propose a novel feature extraction method based on target moving information for target recognition of passive homing. This new method makes use of the distances between intersections of directional lines gotten at different positions to judge weather target is moving or not. The principle of this method is introduced and the performance is analyzed. Simulation results show that the method is effective in distinguishing moving targets and static ones, and can therefore resist the disturbance of floating decoy to improve counter-countermeasure ability of passive homing.
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Key words:
- passive homing /
- target recognition /
- feature extraction /
- floating decoy
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