基于切比雪夫近似的极窄脉冲超宽带自导信号设计

陈永森; 陈 航; 王新宏; 燕 卿

doi:10.11993/j.issn.1673-1948.2008.02.009

基于切比雪夫近似的极窄脉冲超宽带自导信号设计

doi: 10.11993/j.issn.1673-1948.2008.02.009

陈永森^1,2,
陈航^1,2,
王新宏^1,2,
燕卿^1,2

1.
西北工业大学航海学院, 陕西西安 710072
2.
水下信息处理与控制国家重点实验室, 西安 710072

基金项目: 国防科技重点实验室基金资助(9140C230409060C23)

详细信息

作者简介:
陈永森(1983-)，男，在读硕士，研究方向为水下信号与信息处理、超宽带鱼雷自导.

中图分类号: TB561, TN912.16
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- 被引次数: 0
出版历程
- 收稿日期: 2007-07-12
- 修回日期: 2007-10-10
- 刊出日期: 2008-04-30

Design of Ultra-Wideband Signals Based on Chebyshev Approximation Method for Torpedo Homing System

1.
College of Marine Engineering,Northwestern Polytechnical University,Xi′an 710072,China
2.
National Key Lab of Underwater Information Processing and Control, Northwestern Polytechnical University, Xi′an 710072,China

摘要

摘要: 作为鱼雷自导新的发展方向，极窄脉冲超宽带自导具有信息量大，反隐身效果好等特点。本文针对极窄脉冲超宽带自导信号，提出了一种基于滤波器的设计方法，首先按照切比雪夫近似方法设计有限脉冲响应(FIR)带通滤波器，然后将滤波器冲激响应做加窗处理来调节信号能量分布。该方法采用等间隔选择频率点，具有较小的运算复杂度，并且信号时宽和阻带衰减可调。仿真结果表明,该方法所设计的信号在频带内能量分布均匀，纹波小，频带外能量衰减大，能够在混响的白化和抑制混响起伏上起到很好的效果。
- 超宽带自导信号 /
- 极窄脉冲 /
- 带通滤波器 /
- 有限脉冲响应 /
- 切比雪夫近似法
Abstract: As a new developmental direction for torpedo homing system, very short impulse and ultra-wideband signal has the advantages such as more information and good anti-stealth effect. An ultra-wideband waveform design method for torpedo homing system is proposed. First, a finite impulse respond(FIR) band pass filter is designed based on Chebyshev approximation method, and then the windowed impulse response is used to adjust energy distribution of signal. Using equal spacing frequency points, this method has low calculating complexity, also it allows designers to specify signal duration, bandwidth and attenuation. Simulation result indicates that the signal has great energy attenuation outside band limit, and the energy distribute equally in band limit. Compared with narrowband signal the ultra-wideband signal imposes satisfactory suppression on reverberation.
- ultra-wideband homing signal /
- very short impulse /
- band pass filter /
- finite impulse respond(FIR) /
- Chebyshev approximation method

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参考文献(8)

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