无载波超宽带引信组合脉冲功率谱快速拟合方法

朱航; 侯林胜; 康国钦; 邹晓鋆; 宋伟; 谭铭; 张淑宁

doi:10.11999/JEIT230415

无载波超宽带引信组合脉冲功率谱快速拟合方法

doi: 10.11999/JEIT230415

1.
国防科技大学信息通信学院武汉 430000
2.
南京理工大学电子工程与光电技术学院南京 210094

基金项目: 国家自然科学基金(62201579, 62201580)

详细信息

作者简介:
朱航：男，讲师，研究方向为非平稳信号处理、电子对抗理论与方法

侯林胜：男，博士生，研究方向为电子对抗理论与方法

康国钦：男，副教授，研究方向为电子对抗理论与方法

邹晓鋆：男，讲师，研究方向为阵列信号处理、天线设计理论与方法

宋伟：男，讲师，研究方向为电子对抗理论与方法

谭铭：男，讲师，研究方向为阵列信号处理

张淑宁：女，教授，博士生导师，研究方向为电子对抗理论与方法

通讯作者:
张淑宁　 shuningzhang0704@163.com

中图分类号: TN971.1
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出版历程
- 收稿日期: 2023-05-15
- 修回日期: 2023-07-10
- 网络出版日期: 2023-07-13
- 刊出日期: 2023-11-28

A Fast Fitting Method for Combined Pulse Power Spectrum of Carrier-free Ultra Wide-band Fuze

1.
College of Information and Communication, National University of Defense Technology, Wuhan 430000, China
2.
School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China

Funds: The National Natural Science Foudation of China (62201579, 62201580)

摘要

摘要: 为满足无载波超宽带(UWB)引信高斯组合脉冲波形设计需求，该文提出一种基于正交化寻基(OBS)的快速功率谱拟合方法。根据脉冲形成因子的取值范围构造多个候选的高斯脉冲函数，在通过最大化互信息实现功率谱设计的基础上，以循环迭代的方法进行功率谱拟合，每次迭代都对候选高斯脉冲函数进行施密特正交化，并通过内积计算快速地找出尚未被选取的候选高斯脉冲函数中与残留幅度频谱最匹配的一个，最终，根据选定高斯脉冲函数与它们正交化函数之间的矩阵关系确定加权系数，从而得到组合波形，使得拟合出的功率谱与设计功率谱之间达到较好相似性。通过仿真，验证了该文所提方法的有效性，及其相对于粒子群迭代算法的高效性。
- 无载波超宽带引信 /
- 高斯脉冲组合波形 /
- 波形设计 /
- 正交化寻基 /
- 功率谱拟合
Abstract: A fast power spectrum fitting method based on Orthogonal Basis Searching (OBS) is proposed to meet the requirements of Gaussian pulse combination waveform design for Carrier free Ultra Wide-Band (UWB) fuze. Multiple candidate Gaussian pulse functions are constructed according to the value range of the pulse forming factor, and on the basis of power spectrum design by maximizing mutual information, power spectrum fitting is carried out in a cyclic iteration method. In each iteration, Schmidt Orthogonalization is performed on the candidate Gaussian pulse functions, and the best one matches the residual amplitude spectrum is quickly found through the inner product calculation. Finally, the weighting coefficient is determined according to the matrix relationship between the selected Gaussian pulse functions and their Orthogonalization functions, so as to obtain the waveform combined with multi-pulse, which makes the fitted power spectrum and the designed one achieve good similarity. The effectiveness of the proposed method and its efficiency compared to the particle swarm optimization algorithm have been verified through simulation.
- Carrier free Ultra Wide-Band(UWB) fuze /
- Gaussian pulse combination waveform /
- Waveform design /
- Orthogonal Basis Searching (OBS) /
- Power spectrum fitting

HTML全文

图 1 不同参数条件下的设计功率谱

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图 2 不同4阶高斯脉冲个数时的功率谱拟合效果对比

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图 3 不同离散点功率谱拟合平均相对误差

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图 4 本文所提算法(OBS)与粒子群优化算法(PSO)对比图

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参考文献(16)

[1]	陈龙, 张菁, 张昊立, 等. 具有误差补偿的信号干扰下超宽带室内定位[J]. 导航定位学报, 2022, 10(6): 59–67. doi: 10.3969/j.issn.2095-4999.2022.06.008 CHEN Long, ZHANG Jing, ZHANG Haoli, et al. UWB indoor positioning under signal interference based on error compensation[J]. Journal of Navigation and Positioning, 2022, 10(6): 59–67. doi: 10.3969/j.issn.2095-4999.2022.06.008
[2]	闫岩, 崔占忠. 超宽带无线电引信抗干扰性能研究[J]. 兵工学报, 2010, 31(1): 13–17. doi: 10.3969/j.issn.1000-1093.2010.01.003 YAN Yan and CUI Zhanzhong. Anti-jamming performance of ultra wideband radio fuze[J]. Acta Armamentarii, 2010, 31(1): 13–17. doi: 10.3969/j.issn.1000-1093.2010.01.003
[3]	董二娃, 郝新红, 闫晓鹏, 等. 扫频式干扰对超宽带无线电引信干扰机理[J]. 兵工学报, 2023, 44(4): 1006–1014. doi: 10.12382/bgxb.2022.0088 DONG Erwa, HAO Xinhong, YAN Xiaopeng, et al. Research on interference mechanism of swept-frequency jamming to UWB radio fuze[J]. Acta Armamentarii, 2023, 44(4): 1006–1014. doi: 10.12382/bgxb.2022.0088
[4]	沈磊, 黄忠华. 超宽带无线电引信回波信号建模与仿真[J]. 兵工学报, 2015, 36(5): 795–800. doi: 10.3969/j.issn.1000-1093.2015.05.005 SHEN Lei and HUANG Zhonghua. Modeling and simulation of echo signal of ultra-wideband radio fuze[J]. Acta Armamentarii, 2015, 36(5): 795–800. doi: 10.3969/j.issn.1000-1093.2015.05.005
[5]	李晓雄, 张淑宁, 赵惠昌, 等. 基于1DC-CGAN和小波能量特征的引信小样本地形目标识别[J]. 兵工学报, 2022, 43(10): 2545–2553. doi: 10.12382/bgxb.2021.0505 LI Xiaoxiong, ZHANG Shuning, ZHAO Huichang, et al. Identification of fuzzy small-sample terrain targets based on 1DC-CGAN and wavelet energy features[J]. Acta Armamentarii, 2022, 43(10): 2545–2553. doi: 10.12382/bgxb.2021.0505
[6]	MILOS A, MOLNAR G, and VUCIC M. Spectral-efficient UWB pulse shapers generating Gaussian and modified Hermitian monocycles[C]. The 40th International Convention on Information and Communication Technology, Electronics and Microelectronics, Opatija, Croatia, 2017: 113–118.
[7]	吴宣利, 沙学军, 张乃通. 脉冲超宽带系统中波形设计方法的分析与比较[J]. 哈尔滨工业大学学报, 2009, 41(1): 1–6. doi: 10.3321/j.issn:0367-6234.2009.01.001 WU Xuanli, SHA Xuejun, and ZHANG Naitong. Analysis and comparison of pulse waveform design methods in impulse radio ultra-wideband systems[J]. Journal of Harbin Institute of Technology, 2009, 41(1): 1–6. doi: 10.3321/j.issn:0367-6234.2009.01.001
[8]	SOLIMAN S S, SHEHATA M, and MOSTAFA H. Generation of low-complexity power-efficient IR-UWB waveforms[J]. Optik, 2022, 251: 168245. doi: 10.1016/j.ijleo.2021.168245
[9]	NIU Jiangli, WU Qiong, and LAI Xiaoping. Design of multiple orthogonal pulses for UWB radios using an iterative convex constrained l1 minimization method[C]. The 29th Chinese Control and Decision Conference, Chongqing, China, 2017: 5222–5227.
[10]	SUN Xuebin, LI Zhanmin, ZHAO Chenglin, et al. Cognitive UWB pulse waveform design based on particle swarm optimization[J]. Ad Hoc&Sensor Wireless Networks, 2012, 16(1/3): 215–227.
[11]	陈小波, 陈红, 贾占彪, 等. 基于粒子群算法的超宽带脉冲波形设计[J]. 电子信息对抗技术, 2011, 26(4): 77–80. doi: 10.3969/j.issn.1674-2230.2011.04.019 CHEN Xiaobo, CHEN Hong, JIA Zhanbiao, et al. Waveform design for UWB communication based on particle swarm optimization[J]. Electronic Information Warfare Technology, 2011, 26(4): 77–80. doi: 10.3969/j.issn.1674-2230.2011.04.019
[12]	HAYKIN S. Cognitive radar: A way of the future[J]. IEEE Signal Processing Magazine, 2006, 23(1): 30–40. doi: 10.1109/MSP.2006.1593335
[13]	曹亚丽, 李梅梅, 屈诗涵, 等. 联合准则下的认知雷达波形设计[J]. 系统工程与电子技术, 2022, 44(11): 3364–3370. doi: 10.12305/j.issn.1001-506X.2022.11.10 CAO Yali, LI Meimei, QU Shihan, et al. Waveform design of cognitive radar based on joint criteria[J]. Systems Engineering and Electronics, 2022, 44(11): 3364–3370. doi: 10.12305/j.issn.1001-506X.2022.11.10
[14]	STOICA P, HE Hao, and LI Jian. Optimization of the receive filter and transmit sequence for active sensing[J]. IEEE Transactions on Signal Processing, 2012, 60(4): 1730–1740. doi: 10.1109/TSP.2011.2179652
[15]	赵宜楠, 张涛, 李风从, 等. 基于交替投影的MIMO雷达最优波形设计[J]. 电子与信息学报, 2014, 36(6): 1368–1373. doi: 10.3724/SP.J.1146.2013.01198 ZHAO Yinan, ZHANG Tao, LI Fengcong, et al. Optimal waveform design for MIMO radar via alternating projection[J]. Journal of Electronics&Information Technology, 2014, 36(6): 1368–1373. doi: 10.3724/SP.J.1146.2013.01198
[16]	ROMERO R A, BAE J, and GOODMAN N A. Theory and application of SNR and mutual information matched illumination waveforms[J]. IEEE Transactions on Aerospace and Electronic Systems, 2011, 47(2): 912–927. doi: 10.1109/TAES.2011.5751234