Time Discrimination Method of Multi-transmitter and Multi-receiver Circumferential Laser Fuze

doi:10.12382/bgxb.2023.0948

Abstract

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

CLC Number:

TJ43+4.2

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.

Figures/Tables 18

Fig.1 Echo signals under different conditions

Fig.2 Flow chart of time discrimination

Fig.3 Flow chart of target echo signal discrimination

Fig.4 Schematic diagram of saturated echo discrimination method

Fig.5 Schematic diagram of feature extraction

Fig.6 Schematic diagram of slope discrimination method

Fig.7 Relative position of wave crests

Fig.8 Simulated result of normal waveform

Fig.9 Simulated result of saturated echo

Fig.10 Simulated result of waveform with superimposed backward scattering

Fig.11 Block diagram of Zynq-based algorithm implementation

Fig.12 Diagram of filtering effect

Fig.13 Echo signal after interception by threshold value

Fig.14 The case of multiple extreme points

Fig.15 Test Scene

Fig.16 Time discriminated results of saturated echoes

Fig.17 Time discriminated results of normal echoes

Fig.18 Time discriminated results for superimposed backscattering echo

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