检索结果-内蒙古大学图书馆

Robust Tensor Decomposition Approach for DOA Estimation With EMVS-MIMO Radar

IEEE SENSORS JOURNAL 2024年第19期24卷 31262-31271页

作者： Meng, Dandan Li, Xin Wang, Wei Harbin Engn Univ Coll Intelligent Syst Sci & Engn Harbin 150001 Peoples R China Harbin Engn Univ Coll Mech & Elect Engn Harbin 150001 Peoples R China

Parameter estimation in electromagnetic vector sensor (EMVS) multiple-input multiple-output (MIMO) radar faces challenges due to spatial noise and small array apertures. Therefore, a robust tensor decomposition approach, which is tailored for a monostatic EMVS-MIMO radar with sparse L-shaped, is proposed for high-resolution 2-D direction-of-arrival (DOA) estimation by constructing a covariance tensor to suppress spatial noise and utilizing higher order singular value decomposition (HOSVD) to obtain an exact subspace. Subsequently, the vector-cross product (VCP) technique achievable by the EMVS is utilized to obtain low-resolution but unique DOA estimates, and the estimation of signal parameters with rotational invariance technique (ESPRIT) technique based on sparse uniform array geometry is exploited to obtain high-resolution but ambiguous DOA estimates. By combining the characteristics of both, a unique high-resolution DOA estimate is derived. The results indicate that the framework exhibits better estimation accuracy under low signal-to-noise ratios compared with the existing methods. Furthermore, it is more adaptable than current sparse array methods. Experimental simulation results validate the correctness of the theoretical derivations.

关键词： Estimation Tensors Sensor arrays Sensors Direction-of-arrival estimation Radar Vectors Direction-of-arrival (DOA) estimation electromagnetic vector sensor multiple-input multiple-output (EMVS-MIMO) radar polarization sensitive array tensor decomposition

来源：评论

学校读者我要写书评

暂无评论

Joint polarization-Space-Time Processing for Mainlobe Jamming via CP Decomposition

引用

IEEE SENSORS JOURNAL 2023年第13期23卷 14781-14794页

作者： Pan, Bunian Dong, Luxin Yu, Xianxiang Yao, Xue Sha, Minghui Cui, Guolong Univ Elect Sci & Technol China Sch Informat & Commun Engn Chengdu 611731 Peoples R China Southeast Univ Sch Informat Sci & Engn Nanjing 211100 Peoples R China Beijing Inst Radio Measurement Beijing 100854 Peoples R China

This article deals with the problem of mainlobe jamming suppression for polarization-sensitive phased-array radar system via a joint polarization-space-time processing method resorting to tensor decomposition. First, a radar model accounting for one target and multiple mainlobe jammers in the far field is considered, which is equipped with a polarized transmitted antenna and a uniform linear dual-polarization receiving array. Then, exploiting the polarization-space-time characteristics, tensor CANDECOMP/PARAFAC (CP) decomposition is introduced to recast the received signal as a third order tensor consisting of three factor matrices. Furthermore, the target echo and the jamming signal can be obtained by minimizing the Frobenius norm of the approximation error between the tensor and the outer product of the factor matrices. Finally, the effectiveness of the proposed method by numerical simulation is verified, showing its capability to combat various types of mainlobe jamming as well as their compound forms compared with the art competing method.

关键词： Jamming Radar Tensors Radar polarimetry Radar antennas Linear antenna arrays Spaceborne radar CANDECOMP PARAFAC (CP) decomposition joint multi-domain processing mainlobe jamming suppression polarization sensitive array

来源：评论

学校读者我要写书评

暂无评论

BLIND JOINT ANGLE, FREQUENCY AND polarization ESTIMATION FOR polarization sensitive array USING QUADRILINEAR DECOMPOSITION

引用

JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS 2013年第2期22卷 1-1页

作者： Zhang, Xiaofei Chen, Chen Huang, Yingjie Wu, Hailang Li, Jianfeng Xu, Dazhuan Nanjing Univ Aeronaut & Astronaut Dept Elect Engn Nanjing 210016 Jiangsu Peoples R China Nanjing Univ Lab Modern Acoust Minist Educ Nanjing 210093 Jiangsu Peoples R China

This paper links the polarization-sensitive-array parameter estimation problem to the quadrilinear model. Exploiting this link, it derives a blind joint angle, frequency and polarization estimation algorithm. The simulation results reveal that the proposed algorithm has better angle, frequency and polarization estimation performance than ESPRIT. This algorithm relies on a fundamental result of the uniqueness of low-rank four-way data decomposition. Furthermore, the proposed algorithm does not require pairing among multiple parameters. Simulation results illustrate performance of this algorithm.

关键词： polarization sensitive array quadrilinear model parameter estimation angle estimation frequency estimation polarization estimation

来源：评论

学校读者我要写书评

暂无评论

Joint range, angle and polarization estimation in polarimetric FDA-MIMO radar based on Tucker tensor decomposition

引用

EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING 2023年第1期2023卷 39页

作者： Zhang, Qi Jiang, Hong Liu, Yunchang Jilin Univ Coll Commun Engn Changchun 130012 Peoples R China

Frequency diverse array multiple-input multiple-output (FDA-MIMO) radar is an emerging technology to offer range-angle-dependent beampattern. Polarimetric FDA-MIMO radar can sense additional polarization information to improve target identification capability. In this article, we investigate the problem of joint range, angle and polarization parameter estimation in a monostatic polarimetric FDA-MIMO radar with an FDA at transmitter and a cross-dipole array at receiver. Unlike the conventional methods in which the multidimensional data structure is rearranged into vectors or matrices by stacking operation, we propose a Tucker tensor decomposition-based scheme, which can reserve the original data structure and avoid spoiling the inherent characteristics of interest, especially when the number of snapshots is small. The third-order tensor model of the observed data is constructed. Two approaches named as Tucker covariance reconstruction and Tucker signal subspace are presented using the fourth-order covariance tensor decomposition. The Cramer-Rao bound for range, angle and polarization estimation is also provided. Numerical experiments demonstrate the superiorities of the proposed approaches. Specifically, two targets with identical range and close angles are effectively distinguished.

关键词： FDA-MIMO radar Tucker tensor decomposition Range-angle-polarization estimation polarization sensitive array Signal subspace

来源：评论

学校读者我要写书评

暂无评论

Directional modulation techniques for secure wireless communication: a comprehensive survey

引用

EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING 2022年第1期2022卷 93-93页

作者： Ansari, Omar Amin, Muhammad Inst Space Technol Elect Engn Dept Islamabad Pakistan Inst Space Technol Av Engn Dept Islamabad Pakistan

Directional Modulation (DM) techniques provide wireless communication security against passive eavesdropping by means of specific physical layer characteristics. The original symbol constellations are transmitted along pre-specified spatial direction of legitimate users, while phase-amplitude distorted symbols are transmitted along the undesired directions of eavesdropper. In this paper, a comprehensive review of DM techniques and the most recent developments in this area are discussed. An analysis from three independent Physical Layer Security (PLS) viewpoints;communications, information-theoretic and cryptographic perspective is presented. Different performance metrics in literature are compared and the need for unified PLS approach is emphasized. As DM techniques constitute a relatively new class of PLS, there is no systematic organization of these techniques so far. This paper presents a classification framework for DM comprising of two main categories;angular (1D) and range-angular (2D) techniques. The former secures data along angular direction of physical space, while the latter provides security within certain range (distance) from the transmitter along desired angular direction. Further sub-categorization is based on the under-lying physical layer parameters exploited to achieve security, i.e. space, time, frequency, phase and polarization. The proposed framework is generic, flexible and extend-able to future research. In the end, limitations of existing techniques are pointed out and research directions are suggested.

关键词： Angular directional modulation Antenna subset modulation Cryptography Directional modulation techniques Encryption strength Frequency diverse array Information theoretic security Physical layer randomness Physical layer security polarization sensitive array Range-angular directional modulation Time modulated array

来源：评论

学校读者我要写书评

暂无评论

polarization-spatial Joint Anti-jamming Algorithm for GNSS Receiver in High Dynamic Environment

Polarization-spatial Joint Anti-jamming Algorithm for GNSS R...

引用

第十四届中国卫星导航年会

作者： Siyuan Jiang Runnan Wang Shuai Liu Ming Jin School of Electronics and Information Engineering Harbin Institute of Technology School of Information Science and Engineering Harbin Institute of Technology(Weihai)

In order to address the problem that the anti-jamming performance of GNSS receiver array is seriously degraded in high dynamic environment,a polarization-spatial joint null broadening beamforming algorithm based on matrix reconstruction is proposed in this ***,the received signal model of polarization sensitive array(PSA) is ***,the Capon spectrum is reset by setting the virtual interference in the interference and polarization angles' ***,the interference-plus-noise covariance matrix(IPNCM) is reconstructed by the Capon spectrum,which realizes the polarization-spatial joint null ***,the conjugate gradient(CG) method is utilized to get the polarization adaptive weight vector,which avoids the high computational complexity caused by matrix *** simulation results show that this algorithm can effectively broaden the null,which has good suppression effect on high dynamic interference,and have less computational complexity compared with similar algorithms.

关键词： Adaptive beamforming polarization sensitive array Null broadening Matrix reconstruction Conjugate gradient

来源：评论

学校读者我要写书评

暂无评论

A joint spatial-polarization adaptation method for DOA estimation under mainlobe jamming

A joint spatial-polarization adaptation method for DOA estim...

引用

2021 CIE International Conference on Radar, Radar 2021

作者： Li, Binbin Liu, Weijian Zhou, Bilei Chen, Hui Ni, Mengyu Wang, Xiaoge Early Warning Academy Wuhan China

ISBN: (纸本)9781665498142

Aiming at the DOA estimation problem under mainlobe jamming, a joint spatial-polarization adaptation method with polarization sensitive array is proposed in this paper. First, in order to suppress the mainlobe jamming, each row (or column) of array data is adaptively processed in spatial-polarization domain to obtain a column (or row) of adaptive channel data. Then, the maximum likelihood algorithm is used to estimate the elevation (or azimuth) of target. Numerical simulations are performed to demonstrate the effectiveness of the proposed method. © 2021 IEEE.

关键词： DOA estimation Joint adaptation mainlobe jamming polarization sensitive array

来源：评论

学校读者我要写书评

暂无评论

Cramér-Rao bound for multiple parameters estimation using a polarization sensitive array

引用

The Journal of China Universities of Posts and Telecommunications 2012年第3期19卷 107-113页

作者： ZHENG Gui-mei CHEN Bai-xiao YANG Ming-lei National Laboratory of Radar Signal Processing Xidian UniversityXi'an 710071China

In this paper, new Cramér-Rao lower bounds （CRB） of the estimates of frequencies, two-dimensional arrival angles and polarization parameters of multiple incident signals are derived for a polarization sensitive array. The incident sources have distinct carrier-frequencies, in contrast to the modeling of all sources to be at the same known carrier-frequency, which has been investigated in the existing research literature on the Cramér-Rao bounds （CRB） for polarization sensitive direction finding. The derived CRBs are compact closed-form expressions and applicable to an arbitrary array geometry. Numerical examples and analysis of some special cases provide insights into the fact that the estimation accuracy of all parameters is enhanced with the increasing signal-to-noise ratio （SNR） and number of snapshots. In addition, they are hardly influenced by the sampling frequency and independent of the initial phase of incident sources. These insights offer guidelines to the system engineer on how to improve parameters＇ estimation accuracy.

关键词： array signal processing polarization sensitive array CRB direction of arrival estimation frequency estimation

来源：评论

学校读者我要写书评

暂无评论

2D-DOA and polarization Estimation Using a Novel Sparse Represent on of Covariance Matrix With COLD array

引用

IEEE ACCESS 2018年 6卷 66385-66395页

作者： Si, Weijian Wang, Yan Zhang, Chunjie Harbin Engn Univ Coll Informat & Commun Engn Harbin 150001 Heilongjiang Peoples R China

In this paper, we propose a novel sparse signal representation (SSR)-based algorithm called the l(1)-PSRCM with cocentered orthogonal loop and dipole (COLD) array to estimate two-dimensional (2D) direction of arrival (DOA) and polarization parameters. Considering the characteristics of polarization sensors, a polarized sparse representation model of covariance matrix is constructed, whose overcomplete dictionary and sparse coefficient matrix only depend on DOA and polarization parameters, respectively. In so doing, the proposed algorithm can make full use of the spatial and polarized information contained in the received data, thereby improving the estimation accuracy. In addition, to reduce the computational complexity and suppress the effect of noise, the modified l(1)-PSRCM algorithm with the real-valued sparse coefficient matrix and noise-free sparse representation model is proposed. Finally, we present the two-dimensional multiresolution grid refinement (2D-MGR) method to reduce the heavy computation burden when the spatial grid is dense. Simulation results validate the superiority of the proposed algorithms.

关键词： Direction of arrival l(1)-norm penalty polarization sensitive array signal processing spares signal representation two-dimensional multi-resolution grid refinement

来源：评论

学校读者我要写书评

暂无评论

Spatially Separated Nested Vector-Sensor array With Reduced Mutual Coupling

引用

IEEE SENSORS JOURNAL 2019年第14期19卷 5801-5817页

作者： Yang, Yunlong Mao, Xingpeng Jiang, Guojun Wang, Yiming Harbin Inst Technol Sch Elect & Informat Engn Harbin 150001 Heilongjiang Peoples R China Harbin Inst Technol Key Lab Marine Environm Monitoring & Informat Pro Minist Ind & Informat Technol Harbin 150001 Heilongjiang Peoples R China MNR Inst Oceanog 1 Qingdao 266061 Shandong Peoples R China

For a polarization sensitive array (PSA) composed of electromagnetic vector sensors (EMVSs), all component-antennas of an EMVS are spatially collocated at a same location in the PSA, and mutual coupling introduced has an adverse effect on parameter estimation. The mutual coupling is not only among antennas in adjacent elements, namely, inter-element coupling (IEC), but also among component-antennas which are collocated to give an EMVS [namely inter-polarization coupling (IPC)]. In existing array design, component-antennas of each EMVS are spatially separated into different elements for IPC reduction, and then the spacing between EMVSs is increased for IEC reduction. However, such designed arrays are usually implemented as 2-D arrays which are large compared with linear arrays, and provide only O(N) degrees of freedom (DOFs) with N antennas. To overcome such problems, this paper proposes two kinds of spatially separated augmented nested vector-sensor arrays (SS-ANVSAs), which are linear arrays, can reduce both IEC and IPC, and provide O(N-2) DOFs with N antennas. Specifically, we introduce a scalar-sensor array and propose a sparse scalar-sensor array for IEC reduction, and then propose the SS-ANVSAs by restricting physical space and EMVSs' number for IPC reduction. Theoretical analysis and simulation results are given to illustrate the superior performance of the SS-ANVSAs.

关键词： polarization sensitive array electromagnetic vector sensor inter-element coupling inter-polarization coupling nested array array design

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：