In this paper,the joint design of transmit and receive beamformers for transmit subaperturing multiple-input-multiple-output(TS-MIMO)radar is investigated,aiming to enhance its low probability of intercept(LPI)capabil...In this paper,the joint design of transmit and receive beamformers for transmit subaperturing multiple-input-multiple-output(TS-MIMO)radar is investigated,aiming to enhance its low probability of intercept(LPI)capability.The main objective is to simultaneously minimize the transmission power,suppress the transmit sidelobe levels,and minimize the probability of intercept,thus bolstering the LPI performance of the radar system while maintaining the desired target detection performance.An alternative optimization method is proposed to jointly optimize the transmit and receive beamformers,yielding an unified LPI optimization framework.Particularly,the proposed iterative algorithm based on the Lagrange duality theory for transmit beamforming is more efficient than the conventional convex optimization method.Numerical experiments highlight the effectiveness of the proposed approach in sidelobe suppression and computational efficiency.展开更多
Not confined to a certain point,such as waveform,this paper systematically studies the low-intercept radio frequency(RF)stealth design of synthetic aperture radar(SAR)from the system level.The study is carried out fro...Not confined to a certain point,such as waveform,this paper systematically studies the low-intercept radio frequency(RF)stealth design of synthetic aperture radar(SAR)from the system level.The study is carried out from two levels.In the first level,the maximum low-intercept range equation of the conventional SAR system is deduced firstly,and then the maximum low-intercept range equation of the multiple-input multiple-output SAR system is deduced.In the second level,the waveform design and imaging method of the low-intercept RF SAR system are given and verified by simulation.Finally,the main technical characteristics of the lowintercept RF stealth SAR system are given to guide the design of low-intercept RF stealth SAR system.展开更多
现有脉内复合调制波形存在调制方式简单、自相关旁瓣电平高的不足,致使发射波形在应用中易被截获且对弱目标检测性能较差。针对上述问题,在线性调频(linear frequency modulation,LFM)-Costas雷达波形中引入二相编码(binary phase shift...现有脉内复合调制波形存在调制方式简单、自相关旁瓣电平高的不足,致使发射波形在应用中易被截获且对弱目标检测性能较差。针对上述问题,在线性调频(linear frequency modulation,LFM)-Costas雷达波形中引入二相编码(binary phase shift keying,BPSK),设计了LFM-Costas-BPSK波形。一方面,降低了子脉冲间的相关性从而有效抑制了自相关旁瓣电平;另一方面,提高了波形复杂度,因而降低了被截获概率。仿真实验分析了关键参数对波形性能的影响,验证了所设计的LFM-Costas-BPSK波形的有效性。展开更多
当前,无线电引信面临严峻的信息型干扰环境,为保证无线电引信在战场上稳定发挥毁伤效能,抗信息型干扰相关技术成为无线电引信抗干扰领域的研究热点。根据引信干扰机先截获后转发干扰的工作流程,着眼于无线电引信的低截获波束设计,并结...当前,无线电引信面临严峻的信息型干扰环境,为保证无线电引信在战场上稳定发挥毁伤效能,抗信息型干扰相关技术成为无线电引信抗干扰领域的研究热点。根据引信干扰机先截获后转发干扰的工作流程,着眼于无线电引信的低截获波束设计,并结合频控阵(Frequency Diverse Array,FDA)-多输入多输出(Multiple-Input Multiple-Output,MIMO)技术独特的S形弯曲阵列方向图,探索基于FDA-MIMO的无线电引信低截获点状波束设计方法。在分析FDA-MIMO的波束函数后,聚焦于阵元频偏设置对波束合成的影响这一关键点。通过将波峰点与功率下降点设置在较近距离范围Δr内,实现在波峰点附近以Δr为半径的较小邻域内波束幅值较大,而在其他范围波束幅值快速下降的目标,进而运用波束函数解算出各阵元频偏,得到以阵元频偏设置公式为核心的低截获点状波束设计方法。仿真结果表明:在低截获点状波束设计方法的指导下,FDA-MIMO波束在距离维半功率波束宽度为1 m和角度维半功率波束宽度为9°,波束汇聚性能和低截获性能明显好于其他经典频偏设置方法;该设计方法为基于FDA-MIMO的无线电引信低截获波束设计提供了理论支撑,可以提高无线电引信的低截获性能,更好的发挥战场毁伤效能。展开更多
为了优化单发多收协同雷达(single-transmitter multi-receiver cooperative radar,SMCR)探测系统的低截获概率(low probability of interception,LPI),利用SMCR目标探测的截获因子构造优化目标函数。首先,在二维平面上描述SMCR目标探...为了优化单发多收协同雷达(single-transmitter multi-receiver cooperative radar,SMCR)探测系统的低截获概率(low probability of interception,LPI),利用SMCR目标探测的截获因子构造优化目标函数。首先,在二维平面上描述SMCR目标探测场景,分析探测区域内接收机队列的接收增益及其近似估计方法。然后,针对目标位置先验已知情况,建立SMCR系统的接收机队列优化模型,分析模型解集。最后,针对目标搜索区域先验已知情况,从多个维度仿真分析接收机队列的LPI特性。仿真结果表明,针对目标位置或目标搜索区域先验已知的SMCR探测场景,接收机队列的队形设计有利于改善系统的LPI性能。针对目标位置已知的实测数据定性说明了所提方法仿真结果的合理性。展开更多
In this paper,we present a novel unimodular sequence design algorithm based on the coordinate descent(CD)algorithm,aimed at countering electronic surveillance(ES)systems based on cyclostationary analysis.Our algorithm...In this paper,we present a novel unimodular sequence design algorithm based on the coordinate descent(CD)algorithm,aimed at countering electronic surveillance(ES)systems based on cyclostationary analysis.Our algorithm not only provides resistance against cyclostationary analysis(CSA)but also maintains low integrated sidelobe(ISL)characteristics.Initially,we derive the expression of the cyclostationary feature(CSF)detector and simplify it into an iterative quadratic form.Additionally,we derive a quadratic form to ensure the similarity of the autocorrelation sidelobes.To balance the minimization of the detection probability and the ISL values,we introduce a Pareto scalar that transforms the multiobjective optimization problem into a convex combination of objective functions.This approach allows us to find an optimal trade-off between the two objectives.Finally,we propose a monotonic algorithm based on the CD algorithm to counter CSA analysis.This algorithm efficiently solves the optimization problem mentioned earlier.Numerical experiments are conducted to validate the correctness and effectiveness of our proposed algorithm.展开更多
Neural network-based methods for intrapulse modulation recognition in radar signals have demonstrated significant improvements in classification accuracy.However,these approaches often rely on complex network structur...Neural network-based methods for intrapulse modulation recognition in radar signals have demonstrated significant improvements in classification accuracy.However,these approaches often rely on complex network structures,resulting in high computational resource requirements that limit their practical deployment in real-world settings.To address this issue,this paper proposes a bottleneck residual network with efficient soft-thresholding(BRN-EST)network,which integrates multiple lightweight design strategies and noise-reduction modules to maintain high recognition accuracy while significantly reducing computational complexity.Experimental results on the classical low-probability-of-intercept(LPI)radar signal dataset demonstrate that BRN-EST achieves comparable accuracy to state-of-the-art methods while reducing computational complexity by approximately 50%.展开更多
低截获概率(low probability of intercept,LPI)雷达信号凭借其卓越的抗截获能力,在现代电子战中得到了广泛应用。但LPI雷达信号的低峰值功率使其极易被加性白高斯噪声(additive white Gaussian noise,AWGN)淹没,导致信噪比(signal-to-n...低截获概率(low probability of intercept,LPI)雷达信号凭借其卓越的抗截获能力,在现代电子战中得到了广泛应用。但LPI雷达信号的低峰值功率使其极易被加性白高斯噪声(additive white Gaussian noise,AWGN)淹没,导致信噪比(signal-to-noise ratio,SNR)较低,给信号的检测和识别带来了极大的挑战。为了从AWGN背景中提取原始LPI雷达信号,本文提出了一种名为LPI-U-Net的深度神经网络(deep neural network,DNN),用于端到端的时域LPI雷达信号增强。该网络由特征提取模块(feature extract module,FEM)、特征聚焦模块(feature focus module,FFM)和信号恢复模块(signal recover module,SRM)组成。首先FEM通过卷积操作提取信号的特征,然后FFM利用卷积和通道间注意力进一步关注对信号增强任务有利的特征,最后SRM利用反卷积操作从特征中重构信号,从而完成LPI雷达信号增强。仿真实验表明LPI-U-Net在低SNR下的LPI雷达信号增强性能优于传统信号处理中典型的降噪方法,验证了其可行性和有效性。展开更多
基金supported by the National Natural Science Foundation of China(62271247)the Natural Science Foundation of Jiangsu Province(BK20240181)+4 种基金the Dreams Foundation of Jianghuai Advance Technology Center(2023-ZM01D001)the National Aerospace Science Foundation of China(20220055052001)the Qing Lan Project of Jiangsu Provincethe Fund of Prospective Layout of Scientific Research for Nanjing University of Aeronautics and Astronauticsthe Key Laboratory of Radar Imaging and Microwave Photonics(Nanjing University of Aeronautics and Astronautics),Ministry of Education。
文摘In this paper,the joint design of transmit and receive beamformers for transmit subaperturing multiple-input-multiple-output(TS-MIMO)radar is investigated,aiming to enhance its low probability of intercept(LPI)capability.The main objective is to simultaneously minimize the transmission power,suppress the transmit sidelobe levels,and minimize the probability of intercept,thus bolstering the LPI performance of the radar system while maintaining the desired target detection performance.An alternative optimization method is proposed to jointly optimize the transmit and receive beamformers,yielding an unified LPI optimization framework.Particularly,the proposed iterative algorithm based on the Lagrange duality theory for transmit beamforming is more efficient than the conventional convex optimization method.Numerical experiments highlight the effectiveness of the proposed approach in sidelobe suppression and computational efficiency.
基金supported by the National Key R&D Program of China(2017YFC1405600)the Fundamental Research Funds for the Central Universities(JB180213)
文摘Not confined to a certain point,such as waveform,this paper systematically studies the low-intercept radio frequency(RF)stealth design of synthetic aperture radar(SAR)from the system level.The study is carried out from two levels.In the first level,the maximum low-intercept range equation of the conventional SAR system is deduced firstly,and then the maximum low-intercept range equation of the multiple-input multiple-output SAR system is deduced.In the second level,the waveform design and imaging method of the low-intercept RF SAR system are given and verified by simulation.Finally,the main technical characteristics of the lowintercept RF stealth SAR system are given to guide the design of low-intercept RF stealth SAR system.
文摘当前,无线电引信面临严峻的信息型干扰环境,为保证无线电引信在战场上稳定发挥毁伤效能,抗信息型干扰相关技术成为无线电引信抗干扰领域的研究热点。根据引信干扰机先截获后转发干扰的工作流程,着眼于无线电引信的低截获波束设计,并结合频控阵(Frequency Diverse Array,FDA)-多输入多输出(Multiple-Input Multiple-Output,MIMO)技术独特的S形弯曲阵列方向图,探索基于FDA-MIMO的无线电引信低截获点状波束设计方法。在分析FDA-MIMO的波束函数后,聚焦于阵元频偏设置对波束合成的影响这一关键点。通过将波峰点与功率下降点设置在较近距离范围Δr内,实现在波峰点附近以Δr为半径的较小邻域内波束幅值较大,而在其他范围波束幅值快速下降的目标,进而运用波束函数解算出各阵元频偏,得到以阵元频偏设置公式为核心的低截获点状波束设计方法。仿真结果表明:在低截获点状波束设计方法的指导下,FDA-MIMO波束在距离维半功率波束宽度为1 m和角度维半功率波束宽度为9°,波束汇聚性能和低截获性能明显好于其他经典频偏设置方法;该设计方法为基于FDA-MIMO的无线电引信低截获波束设计提供了理论支撑,可以提高无线电引信的低截获性能,更好的发挥战场毁伤效能。
文摘为了优化单发多收协同雷达(single-transmitter multi-receiver cooperative radar,SMCR)探测系统的低截获概率(low probability of interception,LPI),利用SMCR目标探测的截获因子构造优化目标函数。首先,在二维平面上描述SMCR目标探测场景,分析探测区域内接收机队列的接收增益及其近似估计方法。然后,针对目标位置先验已知情况,建立SMCR系统的接收机队列优化模型,分析模型解集。最后,针对目标搜索区域先验已知情况,从多个维度仿真分析接收机队列的LPI特性。仿真结果表明,针对目标位置或目标搜索区域先验已知的SMCR探测场景,接收机队列的队形设计有利于改善系统的LPI性能。针对目标位置已知的实测数据定性说明了所提方法仿真结果的合理性。
基金support of the National Natural Science Foundation of China under grant numbers 62101570 and 61901494financial support has played a crucial role in the successful completion of this research.
文摘In this paper,we present a novel unimodular sequence design algorithm based on the coordinate descent(CD)algorithm,aimed at countering electronic surveillance(ES)systems based on cyclostationary analysis.Our algorithm not only provides resistance against cyclostationary analysis(CSA)but also maintains low integrated sidelobe(ISL)characteristics.Initially,we derive the expression of the cyclostationary feature(CSF)detector and simplify it into an iterative quadratic form.Additionally,we derive a quadratic form to ensure the similarity of the autocorrelation sidelobes.To balance the minimization of the detection probability and the ISL values,we introduce a Pareto scalar that transforms the multiobjective optimization problem into a convex combination of objective functions.This approach allows us to find an optimal trade-off between the two objectives.Finally,we propose a monotonic algorithm based on the CD algorithm to counter CSA analysis.This algorithm efficiently solves the optimization problem mentioned earlier.Numerical experiments are conducted to validate the correctness and effectiveness of our proposed algorithm.
基金supported by the National Defense Pre-Research Foundation of China during the“14th Five-Year Plan”under Grant No.629010204.
文摘Neural network-based methods for intrapulse modulation recognition in radar signals have demonstrated significant improvements in classification accuracy.However,these approaches often rely on complex network structures,resulting in high computational resource requirements that limit their practical deployment in real-world settings.To address this issue,this paper proposes a bottleneck residual network with efficient soft-thresholding(BRN-EST)network,which integrates multiple lightweight design strategies and noise-reduction modules to maintain high recognition accuracy while significantly reducing computational complexity.Experimental results on the classical low-probability-of-intercept(LPI)radar signal dataset demonstrate that BRN-EST achieves comparable accuracy to state-of-the-art methods while reducing computational complexity by approximately 50%.
