For the issue of deterioration in detection performance caused by dynamically changing environment in ultra-wideband（UWB） multiple input multiple output（MIMO） radar, this paper proposes a novel adaptive waveform d...For the issue of deterioration in detection performance caused by dynamically changing environment in ultra-wideband（UWB） multiple input multiple output（MIMO） radar, this paper proposes a novel adaptive waveform design which is aimed to improve the ability of discriminating target and clutter from the radar scene. Firstly, a sequence of Morlet wavelet pulses with frequency hopping and pulse position modulation by Welch-Costas array is designed. Then a waveform optimization solution is proposed which is achieved by applying the minimization mutual-information（MI） strategy. After that, with subsequent iterations of the algorithm, simulation results demonstrate that the optimal waveform design method brings an improvement in the target detection ability in the presence of noise and clutter.展开更多
Aiming at the signal bandwidth design problem for multi-target imaging task,a kind of multiple input multiple output(MIMO)radar waveform design method is proposed.At first,the closed-loop feedback between the range pr...Aiming at the signal bandwidth design problem for multi-target imaging task,a kind of multiple input multiple output(MIMO)radar waveform design method is proposed.At first,the closed-loop feedback between the range profile and the signal bandwidth,which can design the minimum bandwidth of a transmitting signal that can distinguish each scatterer of the target in range direction,is established.Then,considering the request of beam pattern and the bandwidth limitation,a waveform optimization model is established and solved.Therefore,the multi-target observation and the dynamic adjustment of the signal bandwidth are accomplished.In the end,the simulation results prove the performance of the algorithm in a low SNR circumstance.展开更多
为使对换流阀工作状态的控制更加精确、抑制换相失败,提出了一种基于多分支多输入多输出(Multiple input multiple output,MIMO)深度学习的高压直流输电(Line commutated converter high voltage direct current,LCC-HVDC)换流器阀电流...为使对换流阀工作状态的控制更加精确、抑制换相失败,提出了一种基于多分支多输入多输出(Multiple input multiple output,MIMO)深度学习的高压直流输电(Line commutated converter high voltage direct current,LCC-HVDC)换流器阀电流波形反演方案。对现行实际工程中常用的基于差流换相失败的检测方案进行仿真分析,发现检测结果存在滞后性。阀电流波形的反演模型,其输入特征量为三相交流电流、输出量为6个阀电流,属于MIMO的场景。为提取更多特征信息,基于Inception-ResNet结构、采用多种不同尺寸的卷积,设计多分支MIMO深度学习的换流器阀电流反演模型,并以三相电流作为模型输入,6个阀电流作为输出量,对多分支MIMO模型进行训练。最后,对阀电流的波形进行预测反演。仿真结果表明,多分支MIMO模型对阀电流波形的反演具有较好的适用性,反演结果的相关系数在0.9836以上、平均绝对误差在0.1284以下、且均方误差在0.0286以内,误差变化程度较低。展开更多
针对混沌序列单一调频或调相波形存在波形复杂度低,限制了混沌信号可预测的概率、雷达的截获概率和抗干扰性能的问题,提出了基于混沌序列将频率和相位联合调制用于波形设计的方法。首先,对雷达信号进行混沌频率编码,即将一个脉冲分成一...针对混沌序列单一调频或调相波形存在波形复杂度低,限制了混沌信号可预测的概率、雷达的截获概率和抗干扰性能的问题,提出了基于混沌序列将频率和相位联合调制用于波形设计的方法。首先,对雷达信号进行混沌频率编码,即将一个脉冲分成一系列子脉冲,对不同子脉冲进行不同的频率调制。同时,在每个频率编码子脉冲内对波形的每个周期使用随机产生的初始相位。仿真结果表明,联合调频调相混沌雷达信号的自相关旁瓣峰值最大值达到-24.71 d B,相比调频混沌信号或调相混沌信号,其相关性性能有所提高。实验结果表明,联合调频调相混沌雷达波形结合调相和调频的优点,既具有调相信号的功率谱平坦的特性,又具有调频信号抗噪声干扰特性,为非常理想的探测信号。展开更多
基金supported by the National Natural Science Foundation of China(6107114561271331)
文摘For the issue of deterioration in detection performance caused by dynamically changing environment in ultra-wideband（UWB） multiple input multiple output（MIMO） radar, this paper proposes a novel adaptive waveform design which is aimed to improve the ability of discriminating target and clutter from the radar scene. Firstly, a sequence of Morlet wavelet pulses with frequency hopping and pulse position modulation by Welch-Costas array is designed. Then a waveform optimization solution is proposed which is achieved by applying the minimization mutual-information（MI） strategy. After that, with subsequent iterations of the algorithm, simulation results demonstrate that the optimal waveform design method brings an improvement in the target detection ability in the presence of noise and clutter.
基金Supported by the National Natural Science Foundation of China(61631019)
文摘Aiming at the signal bandwidth design problem for multi-target imaging task,a kind of multiple input multiple output(MIMO)radar waveform design method is proposed.At first,the closed-loop feedback between the range profile and the signal bandwidth,which can design the minimum bandwidth of a transmitting signal that can distinguish each scatterer of the target in range direction,is established.Then,considering the request of beam pattern and the bandwidth limitation,a waveform optimization model is established and solved.Therefore,the multi-target observation and the dynamic adjustment of the signal bandwidth are accomplished.In the end,the simulation results prove the performance of the algorithm in a low SNR circumstance.
文摘为使对换流阀工作状态的控制更加精确、抑制换相失败,提出了一种基于多分支多输入多输出(Multiple input multiple output,MIMO)深度学习的高压直流输电(Line commutated converter high voltage direct current,LCC-HVDC)换流器阀电流波形反演方案。对现行实际工程中常用的基于差流换相失败的检测方案进行仿真分析,发现检测结果存在滞后性。阀电流波形的反演模型,其输入特征量为三相交流电流、输出量为6个阀电流,属于MIMO的场景。为提取更多特征信息,基于Inception-ResNet结构、采用多种不同尺寸的卷积,设计多分支MIMO深度学习的换流器阀电流反演模型,并以三相电流作为模型输入,6个阀电流作为输出量,对多分支MIMO模型进行训练。最后,对阀电流的波形进行预测反演。仿真结果表明,多分支MIMO模型对阀电流波形的反演具有较好的适用性,反演结果的相关系数在0.9836以上、平均绝对误差在0.1284以下、且均方误差在0.0286以内,误差变化程度较低。
文摘针对混沌序列单一调频或调相波形存在波形复杂度低,限制了混沌信号可预测的概率、雷达的截获概率和抗干扰性能的问题,提出了基于混沌序列将频率和相位联合调制用于波形设计的方法。首先,对雷达信号进行混沌频率编码,即将一个脉冲分成一系列子脉冲,对不同子脉冲进行不同的频率调制。同时,在每个频率编码子脉冲内对波形的每个周期使用随机产生的初始相位。仿真结果表明,联合调频调相混沌雷达信号的自相关旁瓣峰值最大值达到-24.71 d B,相比调频混沌信号或调相混沌信号,其相关性性能有所提高。实验结果表明,联合调频调相混沌雷达波形结合调相和调频的优点,既具有调相信号的功率谱平坦的特性,又具有调频信号抗噪声干扰特性,为非常理想的探测信号。
