基于激光引信的回波仿真及抗干扰研究

黄泽青; 贺伟

doi:doi:10.7510/jgjs.issn.1001-3806.2020.06.012

激光技术, 2020, 44 (6): 716, 网络出版: 2021-01-28

基于激光引信的回波仿真及抗干扰研究

Echo simulation and anti-jamming research based on laser fuze

论文大纲

黄泽青贺伟

作者单位

西安邮电大学通信与信息工程学院, 西安 710100

激光技术, 信号仿真, 双向反射分布函数, 回波包络, 五 laser technique the signal simulation BRDF echo envelope five parameters anti-interference

摘要

为了提取目标回波信号的特征信息、提高回波信号仿真精确度, 采用地面验证实验时将回波数据记录下来对其数字仿真的方法, 将二次曲面单元作为几何建模的基础单元来建立目标几何模型, 基于目标表面的材料及双向反射分布函数实测数据, 结合遗传优化算法对不同波长的样品从不同角度来进行五参量建模。采用回波包络上升速率的区域联合判别方式, 对不同环境下目标的点回波幅值进行了实验验证。结果表明, 电压在云烟环境与理想环境下的偏差约为65.3％, 包络走势满足对目标识别的判定准则, 且在云烟环境中实现了抗干扰, 能够修正改善目标在云烟环境下回波信号的仿真模型, 提升仿真精确度。

Abstract

In order to extract the characteristic information of the target echo signal and improve the simulation accuracy of the echo signal, a digital simulation method was adopted to record the echo data in the ground verification test. Quadric surface element was used as the basic element of geometric modeling to establish the target geometric model. Based on the material of the target surface and the measured data of bidirectional reflectnace distrbution function (BRDF), five-parameter modeling was carried out for samples of different wavelength from different angles by combining genetic optimization algorithm. The amplitude of point return wave of target under different environment was verified by the method of region joint discrimination of echo envelope rising rate. The results show that the deviation between the voltage in the cloud environment and the ideal environment is about 65.3%, the enveloped trend satisfies the criterion of target recognition, and the anti-interference is realized in the cloud environment, which can modify and improve the simulation model of target echo signal in the cloud and smoke environment and improve the simulation accuracy.

参考文献

[1] ZHANG H, WANG Y T. Simulation technology of laser fuze echo signal based on monte carlo method ［J］. Journal of System Simulation,2004,16(8):1624-1626（in Chinese）.

[2] TAN Y Y, ZHANG H, ZHA B T. Simulation method of underwater laser fuze echo based on bidirectional reflection function ［J］. Acta Photonica,2016,45(12):1207002（in Chinese）.

[3] ZHANG J G,LIANG X G,TANG J. A method for calculating target echo signal of laser fuze ［J］. Guidance and Fuze,2008,29(1):22-27（in Chinese）.

[4] CHEN Sh Sh, ZHANG H, XU X B, et al. Study on echo characteristics of pulsed laser fuze detection of planar targets ［J］. Journal of Military Engineering,2018,39(6):12-15（in Chinese）.

[5] NIU Q P, GAO Ch. Study on target echo range image characteristics of laser fuze ［J］. Computer Measurement and Control,2013,21(11): 128-129（in Chinese）.

[6] WANG B, LIN J X, TONG G D, et al. Echo simulation of complex target laser fuze ［J］. Guidance and Fuze,2012,33(4): 24-30（in Chinese）.

[7] QIAN R Ch, GUI Y N, DONG W B, et al. Variable coefficient correlation detection of laser fuze pulse echo ［J］. Chinese Journal of Detection and Control,2014,36(5):1-5（in Chinese）.

[8] MA Y. Study on optimization modeling and application of BRDF on near-field target surface of laser fuze［D］.Nanjiang: Nanjing University of Technology,2015:11-14（in Chinese）.

[9] WEI T F. Statistical modeling and application of BRDF optimization ［D］.Xi’an: University of Electronic Science and Technology,2012:22-26（in Chinese）.

[10] LI H P, LI G Y, CAI Zh J, et al. Full waveform lidar echo decomposition method ［J］. Journal of Remote Sensing, 2019,23 (1): 89-98（in Chinese）.

[11] LU M, KONG D H, SU Y D. Target identification method of anti-radiation missile laser fuze based on PCA ［J］. Chinese Journal of Detection and Control,2019,41(1):15-18（in Chinese）.

[12] LI J, HUANG Zh. Analysis and research on echo signal processing method of laser fuze ［J］. Communications Technology,2009,42(11):217-218（in Chinese）.

[13] WANG H J , GUO H J, LI J H. Optimization algorithm of ultrasonic echo signal envelop correlation delay estimation ［J］. Computer Engineering and Application,2012,48(20):154-157（in Chinese）.

[14] CHENG Z, XIA M, LI W. Underwater lidar echo extraction based on variable forgetting factor RLS algorithm ［J］. Advances in Laser and Optoelectronics,2016,53(1):32-39（in Chinese）.

[15] WANG T, SHEN Y H, YAO J Q. Study on de-noising of laser radar echo signal based on wavelet threshold method ［J］. Laser Technology,2019,43(1):63-68（in Chinese）.

[16] YU X, MIN M, ZHANG X Y, et al. Effects of typical filters on the echo signal of satellite borne high spectral resolution lidar channel at 532nm ［J］. Infrared and Laser Engineering,2018,47(12):122-131（in Chinese）.

[17] DAI C, WANG Y Q, XU F. 3-D laser radar echo decomposition based on particle swarm optimization ［J］. Laser Technology,2016,40(2): 284-287（in Chinese）.

[18] CHEN H M, LIU Y, ZHU X W, et al. Simulation and analysis of echo characteristics of frequency-modulated continuous wave laser fuze ［J］. Chinese Journal of Military Engineering,2015,36(12):2247-2253（in Chinese）.

[19] LING J J, LI G, ZHANG R B. Modeling and simulation of polarization spectrum BRDF［J］.Spectroscopy and Spectral Analysis,2016,36(1):42-46（in Chinese）.

黄泽青, 贺伟. 基于激光引信的回波仿真及抗干扰研究[J]. 激光技术, 2020, 44(6): 716. HUANG Zeqing, HE Wei. Echo simulation and anti-jamming research based on laser fuze[J]. Laser Technology, 2020, 44(6): 716.

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