现有全脉冲结构波形与处理方法,如相位编码波形匹配处理存在多普勒容忍度差的固有缺陷,线性调频(linear frequency modulation,LFM)波形加窗处理降低了距离分辨率和信噪比(signal-to-noise ratio,SNR)增益,难以适应高速多目标探测的任...现有全脉冲结构波形与处理方法,如相位编码波形匹配处理存在多普勒容忍度差的固有缺陷,线性调频(linear frequency modulation,LFM)波形加窗处理降低了距离分辨率和信噪比(signal-to-noise ratio,SNR)增益,难以适应高速多目标探测的任务需求。为此,本文提出了一种面向高速目标探测的多子脉冲结构波形设计与处理方法。首先,构建具有多子脉冲结构波形的回波模型,利用分段子脉冲压缩处理和子脉冲间相参处理方法,导出多子脉冲结构波形的距离-多普勒响应函数;然后,根据感兴趣的目标距离速度区间,建立恒模约束下以最小化加权积分距离-多普勒旁瓣电平为目标函数的多子脉冲结构波形优化设计问题;最后,引入坐标下降(coordinate descent,CD)优化框架,将高维非凸约束优化问题的求解转变为多个一维优化问题的迭代求解,且推导出这些低维问题的闭式解。仿真表明,所设计的多子脉冲结构波形具有较好的多普勒容忍度和较低的局部距离-多普勒旁瓣电平,且在高速多目标认知探测场景下,相比于LFM波形、模糊函数优化波形和LFM-noise波形具有更好的高速目标探测能力。展开更多
In pursuit of more efficient and stable electrochemical energy storage materials,composite materials consisting of metal oxides and graphene oxide have garnered significant attention due to their unique structures and...In pursuit of more efficient and stable electrochemical energy storage materials,composite materials consisting of metal oxides and graphene oxide have garnered significant attention due to their unique structures and exceptional properties.Graphene oxide(GO),a two-dimensional material with an extremely high specific surface area and excellent conductivity,offers new possibilities for enhancing the electrochemical performance of metal oxides.In this work,we synthesized met-al-organic framework(MOF)and GO composites by regulating the amount of GO,and successfully prepared composites of metal oxides supported by nitrogen-doped carbon frameworks and GO through a simple one-step calcination process.Based on the electrochemical tests,the optimal amount of GO was determined.This research will provide new insights into and directions for designing and synthesizing metal oxide and graphene oxide composite materials with an ideal electro-chemical performance.展开更多
文摘现有全脉冲结构波形与处理方法,如相位编码波形匹配处理存在多普勒容忍度差的固有缺陷,线性调频(linear frequency modulation,LFM)波形加窗处理降低了距离分辨率和信噪比(signal-to-noise ratio,SNR)增益,难以适应高速多目标探测的任务需求。为此,本文提出了一种面向高速目标探测的多子脉冲结构波形设计与处理方法。首先,构建具有多子脉冲结构波形的回波模型,利用分段子脉冲压缩处理和子脉冲间相参处理方法,导出多子脉冲结构波形的距离-多普勒响应函数;然后,根据感兴趣的目标距离速度区间,建立恒模约束下以最小化加权积分距离-多普勒旁瓣电平为目标函数的多子脉冲结构波形优化设计问题;最后,引入坐标下降(coordinate descent,CD)优化框架,将高维非凸约束优化问题的求解转变为多个一维优化问题的迭代求解,且推导出这些低维问题的闭式解。仿真表明,所设计的多子脉冲结构波形具有较好的多普勒容忍度和较低的局部距离-多普勒旁瓣电平,且在高速多目标认知探测场景下,相比于LFM波形、模糊函数优化波形和LFM-noise波形具有更好的高速目标探测能力。
基金supported by the National Natural Science Foundation of China(51971157)Shenzhen Science and Technology Program(JCYJ20210324115412035,JCYJ202103-24123202008,JCYJ20210324122803009 and ZDS-YS20210813095534001)Guangdong Foundation for Basic and Applied Basic Research Program(2021A1515110880).
文摘In pursuit of more efficient and stable electrochemical energy storage materials,composite materials consisting of metal oxides and graphene oxide have garnered significant attention due to their unique structures and exceptional properties.Graphene oxide(GO),a two-dimensional material with an extremely high specific surface area and excellent conductivity,offers new possibilities for enhancing the electrochemical performance of metal oxides.In this work,we synthesized met-al-organic framework(MOF)and GO composites by regulating the amount of GO,and successfully prepared composites of metal oxides supported by nitrogen-doped carbon frameworks and GO through a simple one-step calcination process.Based on the electrochemical tests,the optimal amount of GO was determined.This research will provide new insights into and directions for designing and synthesizing metal oxide and graphene oxide composite materials with an ideal electro-chemical performance.
