LPI雷达辐射源信号识别的脉冲累加方法

Zhaocheng Hu, D. Hu, Jiantao Wang, Jie Huang
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引用次数: 0

摘要

雷达辐射源信号识别是识别未知雷达的重要手段,它依赖于接收信号的高质量。然而,低截获概率雷达信号容易受到噪声的干扰,导致信号质量差,识别精度低。为了提高脉冲信号的质量,提出了一种脉冲累加方法,用于LPI雷达辐射源信号识别。首先,描述了脉冲积累问题。然后提出了时域对准迭代法(TAIM)来改善脉冲积累的效果。最后,将累积信号的时频图像输入深度残差网络进行识别,验证所提方法的效果。该方法利用所提出的TAIM增强了脉冲积累的效果,最终提高了信号识别的性能。仿真结果表明,该方法比单脉冲信号在−6dB时的识别精度提高了7%以上。
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A Pulse Accumulation Method for LPI Radar Emitter Signal Recognition
Radar emitter signal recognition is a crucial means to distinguish unknown radars, and it depends on the high quality of received signals. However, signals of Low probability of intercept (LPI) radars are easily interfered with by noise, resulting in poor signal quality and low recognition accuracy. We propose a pulse accumulation method to improve the quality of pulse signals for LPI radar emitter signal recognition. Firstly, the pulse accumulation problem is described. Then we propose the time-domain alignment iterative method (TAIM) to improve the effect of pulse accumulation. Finally, time-frequency images of the accumulated signals are input to the deep residual network for recognition to verify the effect of the proposed method. This approach enhances the effect of pulse accumulation by employing the proposed TAIM, and ultimately improves the performance of signal recognition. Simulation results show that the proposed pulse accumulation method can improve the recognition accuracy by 7% more than that of single-pulse signals at −6dB.
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