多发多收周视激光引信时刻鉴别方法

doi:10.12382/bgxb.2023.0948

摘要/Abstract

摘要：

难以区分后向散射信号和目标回波信号是影响引信探测精度的重要因素。此外,当回波信号处于饱和状态时常规时刻鉴别电路失效。根据烟尘环境下激光探测回波信号的特点,提出一种基于多发多收激光引信的全波形采样时刻鉴别算法,以有效提取目标回波信号,并完成激光测距计时终点的选择。为抑制噪声干扰并保留原始回波信号的主要波形特征,对回波信号进行滤波和阈值截取的预处理,并在预处理后信号的基础上采用特征提取法,以特征信号的形状特征代替原始回波信号的形状特征。为验证算法的可行性,针对激光探测中三类回波信号进行试验。试验结果表明:新算法能够有效识别出三类回波信号,并针对不同的回波信号计算最佳回波返回时刻,有效提高了时刻鉴别的精度。

关键词: 激光引信, 激光探测, 后向散射, 全波形采样, 特征提取

Abstract:

It is difficult to distinguish backscattering signal from target echo signal, which is an important factor affecting the detection accuracy of fuze. In addition, when the echo signal is saturated, the conventional time discrimination circuit fails. According to the characteristics of laser echo signal in smoke and dust environment, a full-waveform sampling time discrimination algorithm based on multi-transmitter and multi-receiver laser fuze is proposed to effectively extract the target echo signal and complete the selection of laser ranging timing end point. In order to suppress the noise interference and keep the main waveform characteristics of the original echo signal, the echo signal is preprocessed by filtering and threshold interception, the feature extraction method is adopted based on the preprocessed signal, and then the shape characteristics of the characteristic signal are replaced by those of the original echo signal. Three kinds of echo signals in laser detection are tested to verify the feasibility of the proposed algorithm. The experimental results show that the proposed algorithm can effectively identify three types of echo signals, and calculate the best echo return time for different echo signals, which effectively improves the accuracy of time discrimination.

Key words: laser fuze, laser detection, backscatter, full waveform sampling, feature extraction

中图分类号:

TJ43+4.2

查冰婷, 徐光博, 秦建新, 张合. 多发多收周视激光引信时刻鉴别方法[J]. 兵工学报, 2024, 45(11): 4145-4154.

ZHA Bingting, XU Guangbo, QIN Jianxin, ZHANG He. Time Discrimination Method of Multi-transmitter and Multi-receiver Circumferential Laser Fuze[J]. Acta Armamentarii, 2024, 45(11): 4145-4154.

图/表 18

图1 不同条件下的回波信号图

Fig.1 Echo signals under different conditions

图2 时刻鉴别流程图

Fig.2 Flow chart of time discrimination

图3 目标回波信号判别流程图

Fig.3 Flow chart of target echo signal discrimination

图4 饱和回波识别方法示意图

Fig.4 Schematic diagram of saturated echo discrimination method

图5 特征提取示意图

Fig.5 Schematic diagram of feature extraction

图6 斜率判别方法示意图

Fig.6 Schematic diagram of slope discrimination method

图7 波峰的相对位置关系图

Fig.7 Relative position of wave crests

图8 正常波形仿真结果

Fig.8 Simulated result of normal waveform

图9 饱和回波仿真结果

Fig.9 Simulated result of saturated echo

图10 叠加后向散射的波形仿真结果

Fig.10 Simulated result of waveform with superimposed backward scattering

图11 基于Zynq软件的算法实现框图

Fig.11 Block diagram of Zynq-based algorithm implementation

图12 滤波效果图

Fig.12 Diagram of filtering effect

图13 按阈值截取后的回波信号

Fig.13 Echo signal after interception by threshold value

图14 多个极值点的情况

Fig.14 The case of multiple extreme points

图15 试验场景图

Fig.15 Test Scene

图16 饱和回波的时刻鉴别结果

Fig.16 Time discriminated results of saturated echoes

图17 正常回波的时刻鉴别结果

Fig.17 Time discriminated results of normal echoes

图18 叠加后向散射的回波时刻鉴别结果

Fig.18 Time discriminated results for superimposed backscattering echo

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