检索结果-南通市图书馆

DOA estimation based on multi-frequency joint sparse Bayesian learning for passive radar

在线全文

学校读者我要写书评

暂无评论

Journal of Systems Engineering and Electronics 2022年第5期33卷 1052-1063页

作者： WEN Jinfang YI Jianxin wan xianrong GONG Ziping SHEN Ji School of Electronic Information Wuhan UniversityWuhan 430072China

This paper considers multi-frequency passive radar and develops a multi-frequency joint direction of arrival(DOA)estimation algorithm to improve estimation accuracy and resolution.The developed algorithm exploits the sparsity of targets in the spatial domain.Specifically,we first extract the required frequency channel data and acquire the snapshot data through a series of preprocessing such as clutter suppression,coherent integration,beamforming,and constant false alarm rate(CFAR)detection.Then,based on the framework of sparse Bayesian learning,the target’s DOA is estimated by jointly extracting the multi-frequency data via evidence maximization.Simulation results show that the developed algorithm has better estimation accuracy and resolution than other existing multi-frequency DOA estimation algorithms,especially under the scenarios of low signalto-noise ratio(SNR)and small snapshots.Furthermore,the effectiveness is verified by the field experimental data of a multi-frequency FM-based passive radar.

关键词： multi-frequency passive radar DOA estimation sparse Bayesian learning small snapshot low signal-to-noise ratio(SNR)

Range-Angle Dependent Beampattern Synthesis Method for OFDM-Based Passive Radar

在线全文

学校读者我要写书评

暂无评论

Wuhan University Journal of Natural Sciences 2022年第3期27卷 255-260页

作者： RAO Yunhua HE Hao wan xianrong YI Jianxin School of Electronic Information Wuhan UniversityWuhan 430072HubeiChina Shenzhen Research Institute Wuhan UniversityShenzhen 518063GuangdongChina

Frequency diverse array(FDA)radar applies a tiny frequency offset across its adjacent transmitting array elements to generate a range-angle-dependent beampattern.The increased degrees-of-freedom(DOFs)in range domain can help improve the performance of radar in target detection,localization,and clutter suppression.Passive radar utilizes uncontrollable external signal as illuminator,which makes it difficult to apply traditional frequency diverse process method.However,the third-party illuminator such as Orthogonal Frequency Division Multiplexing(OFDM)signal usually consists of several closely spaced modulated carriers,and it has been widely selected as the illuminator for passive radar in recent years.Considering the orthogonality between even separated subcarriers,we propose a new frequency diverse process method by extracting and processing each subcarrier of received data independently and attempt to provide a range-angle dependent beampattern for OFDM passive radar.Numerical results and real data analyses verify the superiority of frequency diversity process on the received data of OFDM passive radar.

关键词： passive radar frequency diverse Orthogonal Frequency Division Multiplexing(OFDM)signal range-angle dependent beampattern

基于数据失真的雷达通信一体化OFDM波形设计方法

在线全文

学校读者我要写书评

暂无评论

雷达学报（中英文） 2024年第1期13卷 160-173页

作者：刘燕万显荣易建新武汉大学电子信息学院武汉430072

正交频分复用(OFDM)波形设计是实现雷达通信一体化的物理层关键技术之一。OFDM波形通常存在峰均功率比(PAPR)高,以及波形自相关旁瓣电平高的问题。该文针对现有联合降低PAPR和自相关旁瓣方法存在的通信速率下降问题,提出了一种基于数据... 详细信息

正交频分复用(OFDM)波形设计是实现雷达通信一体化的物理层关键技术之一。OFDM波形通常存在峰均功率比(PAPR)高,以及波形自相关旁瓣电平高的问题。该文针对现有联合降低PAPR和自相关旁瓣方法存在的通信速率下降问题,提出了一种基于数据失真的一体化波形设计方法。该文还将通信数据的误差矢量幅度作为优化目标之一,降低了数据失真引起的通信误码率。首先,构建了PAPR约束下最小化积分旁瓣比和误差矢量幅度的优化模型。其次,根据调制星座图特点,通过外围星座调制的数据失真和所有调制数据失真,将多目标高维非凸优化问题转化为两个单目标优化子问题,分别采取凸松弛操作和交替方向乘子法(ADMM)求解简化后的子问题,得到低积分旁瓣比波形和PAPR约束下的低误差矢量幅度波形。仿真结果表明该方法设计的一体化波形可满足PAPR要求,同时具有良好的感知和通信性能。

关键词：波形设计雷达通信一体化正交频分复用(OFDM) 峰均功率比(PAPR) 旁瓣误差矢量幅度

Data fusion of target characteristic in multistatic passive radar

在线全文

学校读者我要写书评

暂无评论

Journal of Systems Engineering and Electronics 2021年第4期32卷 811-821页

作者： CAO Xiaomao YI Jianxin GONG Ziping RAO Yunhua wan xianrong School of Electronic Information Wuhan UniversityWuhan 430072China Shenzhen Research Institute Wuhan UniversityShenzhen 518057China

Radar cross section(RCS)is an important attribute of radar targets and has been widely used in automatic target recognition(ATR).In a passive radar,only the RCS multiplied by a coefficient is available due to the unknown transmitting parameters.For different transmitter-receiver(bistatic)pairs,the coefficients are different.Thus,the recovered RCS in different transmitter-receiver(bistatic)pairs cannot be fused for further use.In this paper,we propose a quantity named quasi-echo-power(QEP)as well as a method for eliminating differences of this quantity among different transmitter-receiver(bistatic)pairs.The QEP is defined as the target echo power after being compensated for distance and pattern propagation factor.The proposed method estimates the station difference coefficients(SDCs)of transmitter-receiver(bistatic)pairs relative to the reference transmitter-receiver(bistatic)pair first.Then,it compensates the QEP and gets the compensated QEP.The compensated QEP possesses a linear relationship with the target RCS.Statistical analyses on the simulated and real-life QEP data show that the proposed method can effectively estimate the SDC between different stations,and the compensated QEP from different receiving stations has the same distribution characteristics for the same target.

关键词： data fusion multistatic passive radar radar cross section(RCS) target characteristic

面向外辐射源雷达发射站定位的合作无人机航迹规划方法研究

在线全文

学校读者我要写书评

暂无评论

电子与信息学报 2024年第5期46卷 2057-2064页

作者：万显荣武冰倩易建新胡仕波武汉大学电子信息学院武汉430072

在广域未知环境中,外辐射源雷达机动部署常面临难以及时获取第三方发射站精确位置信息的难题。为此,该文提出一种基于合作无人机航迹规划的发射站定位方法。首先,利用单个无人机作为合作目标,建立2维场景下的定位模型和量测方程,并采用... 详细信息

在广域未知环境中,外辐射源雷达机动部署常面临难以及时获取第三方发射站精确位置信息的难题。为此,该文提出一种基于合作无人机航迹规划的发射站定位方法。首先,利用单个无人机作为合作目标,建立2维场景下的定位模型和量测方程,并采用列文伯格-马夸尔特(Levenberg-Marquardt, LM)算法进行解算。然后,构建融合Fisher信息和控制参数约束的优化函数,对无人机航迹进行动态规划,从而提高发射站定位的精度和方法的实用性。最后,仿真实验表明,在最大控制距离约束下,所提方法的定位结果优于直线航迹和经典优化航迹,最终发射站定位精度小于双基距离差量测标准差,能够满足外辐射源雷达系统目标探测定位的应用要求。

关键词：外辐射源雷达发射站定位无人机航迹规划

基于多初级假设的FM广播外辐射源雷达网航迹起始算法

在线全文

学校读者我要写书评

暂无评论

雷达学报（中英文） 2024年第3期13卷 601-612页

作者：胡越洋易建新万显荣程丰徐苏霖武汉大学电子信息学院武汉430072

基于调频(FM)广播信号的外辐射源雷达有着检测概率低、虚警率高、量测精度差的特点,这给组网目标跟踪带来了极大挑战。一方面,较高的虚警率使计算量增加,组网算法的实时性受到考验;另一方面,检测概率低、方位角精度差造成冗余信息缺乏,... 详细信息

基于调频(FM)广播信号的外辐射源雷达有着检测概率低、虚警率高、量测精度差的特点,这给组网目标跟踪带来了极大挑战。一方面,较高的虚警率使计算量增加,组网算法的实时性受到考验;另一方面,检测概率低、方位角精度差造成冗余信息缺乏,量测关联与航迹起始变得困难。为解决这些问题,该文提出初级假设点和初级假设航迹的概念,以及基于此概念的FM广播外辐射源雷达网航迹起始算法。首先构造可能的低维关联假设,并解算出与其对应的初级假设点;随后关联不同时刻的初级假设点,形成多条可能的初级假设航迹;最后联合多场雷达网数据进行假设航迹判决,真实目标对应的初级假设航迹会得到确认,错误关联导致的虚假初级假设航迹会被剔除。相比于已有算法,所提算法有着更低的计算量,更快的航迹起始速度,仿真与实测结果均验证了所提算法的有效性。

关键词： FM广播外辐射源雷达初级假设航迹起始雷达网信息融合

High-accuracy target tracking for multistatic passive radar based on a deep feedforward neural network

在线全文

学校读者我要写书评

暂无评论

信息与电子工程前沿:英文版 2023年第8期24卷 1214-1230页

作者： Baoxiong XU Jianxin YI Feng CHENG Ziping GONG xianrong wan Electronic Information School Wuhan UniversityWuhan430072China

In radar systems,target tracking errors are mainly from motion models and nonlinear measurements.When we evaluate a tracking algorithm,its tracking accuracy is the main criterion.To improve the tracking accuracy,in this paper we formulate the tracking problem into a regression model from measurements to target states.A tracking algorithm based on a modified deep feedforward neural network(MDFNN)is then proposed.In MDFNN,a filter layer is introduced to describe the temporal sequence relationship of the input measurement sequence,and the optimal measurement sequence size is analyzed.Simulations and field experimental data of the passive radar show that the accuracy of the proposed algorithm is better than those of extended Kalman filter(EKF),unscented Kalman filter(UKF),and recurrent neural network(RNN)based tracking methods under the considered scenarios.

关键词： Deep feedforward neural network Filter layer Passive radar Target tracking Tracking accuracy

A robust symbol timing strategy for cellular systems

在线全文

学校读者我要写书评

暂无评论

Digital Communications and Networks 2023年第3期9卷 757-768页

作者： Yangpeng Dan Jianxin Yi xianrong wan Yunhua Rao Yan Liu School of Electronic and Information Wuhan UniversityWuhan430072China Shenzhen Research Institute of Wuhan University Shenzhen518000China

In cellular systems,establishing the initial symbol timing of potential preambles is the first step of a cell search.The envelope fluctuation of the downlink signal hinders the successful timing of conventional symbol timing methods.To solve this problem,a hybrid timing strategy is proposed with two novel detectors,namely the normalized replica-based detector and normalized differential detector.The strategy first detects all potential preambles via the normalized replica-based detector and then employs the normalized differential detector to verify the target preamble,which comes from the target cell and has the highest power.The strategy is unaffected by envelope fluctuation and has computational complexity comparable to that of conventional methods.Simu-lations and real-data tests show that the hybrid timing strategy is robust and practical for initial symbol timing.

关键词： Symbol timing Synchronization Preamble Cell search Cellular system Envelope fluctuation

Automatic target recognition combining angular diversity and time diversity for multistatic passive radar

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Science China(Information Sciences) 2022年第7期65卷 271-272页

作者： Xiaomao CAO Jianxin YI Ziping GONG xianrong wan School of Electronic Information Wuhan University

Dear editor, The radar cross section-based (RCS-based) method is an important research direction in the field of automatic target recognition (ATR) of passive radars [1–5]. Due to the unknown transmitting parameters in the passive radar, it is impossible to extract the true target RCS from the echo power. As a result of this, researchers use a biased RCS which has an unknown parameter to realize the RCS-based ATR in passive radar [1, 2].

关键词： automatic target recognition angular diversity multistatic passive radar radar cross section time diversity