Because the flare signal formed by projectile explosion is affected by the external environment, it is difficult for multi-acoustic sensor array to obtain accurate synchronization signal. In order to solve this problem, this paper proposes a design method of ultra-wide-angle photoelectric detection sensor by using circular curved surface array lens, analyze the detection ability of photoelectric detection sensor with array lens, and establish the output signal function calculation model. According to the output signal of flare detection circuit, the feature points detection algorithm of modulus maxima based on wavelet transform is studied. Based on this algorithm, the signal is processed on the hardware processor to output the actual flare trigger control signal. The processing and recognition algorithm of signal mainly uses the relationship among wavelet modulus maxima, scale, Lipschitz index, and signal singularity to select the appropriate wavelet basis to process the flare signal formed by projectile explosion. Thus, the feature points of the flare signal singularity can be obtained. When the detection conditions of the feature points of the signal singularity are satisfied, the hardware outputs pulse signals to control the acoustic sensor array. The experimental results show that the designed detection algorithm of wavelet filtering and modulus maxima feature points can effectively detect the flare signal.

中文翻译：

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光电检测传感器光学系统设计及阵列透镜眩光信号处理

由于弹丸爆炸形成的耀斑信号受外界环境影响，多声学传感器阵列难以获得准确的同步信号。针对这一问题，本文提出了一种利用圆形曲面阵列透镜的超广角光电检测传感器的设计方法，分析了带阵列透镜的光电检测传感器的检测能力，建立了输出信号函数计算模型。 . 根据耀斑检测电路的输出信号，研究了基于小波变换的模极大值特征点检测算法。基于该算法，在硬件处理器上对信号进行处理，输出实际的耀斑触发控制信号。信号处理识别算法主要利用小波模最大值、尺度、Lipschitz指数和信号奇异性之间的关系，选择合适的小波基对弹丸爆炸形成的耀斑信号进行处理。因此，可以获得耀斑信号奇异点的特征点。当满足信号奇异点特征点的检测条件时，硬件输出脉冲信号控制声学传感器阵列。实验结果表明，所设计的小波滤波和模极大值特征点检测算法能够有效地检测出耀斑信号。可以获得耀斑信号奇异点的特征点。当满足信号奇异点特征点的检测条件时，硬件输出脉冲信号控制声学传感器阵列。实验结果表明，所设计的小波滤波和模极大值特征点检测算法能够有效地检测出耀斑信号。可以获得耀斑信号奇异点的特征点。当满足信号奇异点特征点的检测条件时，硬件输出脉冲信号控制声学传感器阵列。实验结果表明，所设计的小波滤波和模极大值特征点检测算法能够有效地检测出耀斑信号。