Iet Radar Sonar and Navigation最新文献_第4页

Improving physical layer security in distributed multiple-input multiple-output dual-function radar-communication systems 提高分布式多输入多输出双功能雷达通信系统的物理层安全性

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2024-06-18 DOI: 10.1049/rsn2.12605

Safieh Jebali, Hengameh Keshavarz, Nilufar Hoseini

{"title":"Improving physical layer security in distributed multiple-input multiple-output dual-function radar-communication systems","authors":"Safieh Jebali, Hengameh Keshavarz, Nilufar Hoseini","doi":"10.1049/rsn2.12605","DOIUrl":"https://doi.org/10.1049/rsn2.12605","url":null,"abstract":"A distributed multiple-input multiple-output (MIMO) dual-function radar-communication (D-MIMO DFRC) system is composed of multiple distributed dual-function transmitters, multiple radar receivers and multiple communication receivers, which is capable of performing communication and radar tasks simultaneously. In a DFRC system, the goal is on optimising both the sum -rate in communication receivers and detection/localisation performance in radar receivers. The secrecy rate is maximised in D-MIMO DFRC systems by decreasing the eavesdropper data rate as much as possible with a two-step antenna selection method while maintaining optimal radar performance. In the first step of the proposed method, all transmitter antennas have been classified into groups based on their distance from each other, and each group is called a cluster. Then, a cluster of distributed transmitter antennas is selected based on path fading effects. In the second step of this method, the antenna selection algorithm is performed in the pre-selected cluster based on channel capacity information utilising QR decomposition. The results show that this antenna selection method, along with low computational complexity and high performance, leads to the maximisation of the secrecy rate. In DFRC systems, it is desirable to minimise the total transmit power while satisfying system requirements to provide low probability of interception (LPI). Finally, after antenna selection, a power allocation strategy is also applied on the selected antennas to optimise the total transmit power and to maximise throughput in communication radar receivers simultaneously, and as a result it leads to provide LPI.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"18 10","pages":"1710-1723"},"PeriodicalIF":1.4,"publicationDate":"2024-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.12605","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142588102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on forward scan imaging based on azimuth modulation and pulse compression 基于方位调制和脉冲压缩的前向扫描成像研究

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2024-06-17 DOI: 10.1049/rsn2.12597

Sijia Liu, Minghai Pan

引用次数: 0

Fast estimation of array shape and direction of arrival using sparse Bayesian learning for manoeuvring towed line array 利用稀疏贝叶斯学习快速估计阵列形状和到达方向，用于操纵拖曳线阵列

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2024-06-14 DOI: 10.1049/rsn2.12598

Xiang Pan, Haoran Wang, Min Li, Jie Zhou, Yuxiao Li, Weize Xu

引用次数: 0

Cognitive dual coprime frequency diverse array MIMO radar network for target discrimination and main-lobe interference mitigation 用于目标辨别和主波干扰缓解的认知双共振频率多样化阵列多输入多输出雷达网络

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2024-06-12 DOI: 10.1049/rsn2.12595

Umair Hafeez Khan, Abdul Basit, Wasim Khan, Muhammad Adeel Khan Jadoon, Nauman Anwar Baig

{"title":"Cognitive dual coprime frequency diverse array MIMO radar network for target discrimination and main-lobe interference mitigation","authors":"Umair Hafeez Khan, Abdul Basit, Wasim Khan, Muhammad Adeel Khan Jadoon, Nauman Anwar Baig","doi":"10.1049/rsn2.12595","DOIUrl":"https://doi.org/10.1049/rsn2.12595","url":null,"abstract":"The authors propose a novel dual coprime frequency diverse array (FDA) multiple input multiple output (DCFDA-MIMO) radar network design, empowered by cognitive capabilities, aimed at target discrimination and mitigation of interference present in the standalone radar systems. That is, the proposed DCFDA-MIMO design capitalises on the complementary advantages of FDAs for target discrimination and coprime arrays for enhanced resolution, resulting in superior performance. Additionally, the proposed DCFDA-MIMO network employs a 2D multiple signal classification algorithm to achieve high-resolution target localisation. By incorporating cognitive techniques based on the action-perception cycle, the proposed approach demonstrates notable improvements in multiple target detection and tracking accuracy with fewer number of antenna elements as compared to existing techniques. Furthermore, it enhances individual radar beamforming performance for interference suppression and true target detection without prior information.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"18 9","pages":"1584-1597"},"PeriodicalIF":1.4,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.12595","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142170172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Three-dimensional interferometric inverse synthetic aperture radar imaging of ship target based on cubic phase signal model 基于立方相位信号模型的船舶目标三维干涉测量反合成孔径雷达成像

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2024-06-11 DOI: 10.1049/rsn2.12603

Junting Yang, Yong Wang

{"title":"Three-dimensional interferometric inverse synthetic aperture radar imaging of ship target based on cubic phase signal model","authors":"Junting Yang, Yong Wang","doi":"10.1049/rsn2.12603","DOIUrl":"https://doi.org/10.1049/rsn2.12603","url":null,"abstract":"The interferometric inverse synthetic aperture radar (InISAR) system realises the interferometric processing on the imaging results obtained from three radars on a set of orthogonal baselines and can get the three-dimensional (3D) imaging for the ship target. The ship targets experience complex motion characteristics such as roll, pitch and yaw in the course of navigation. These motions lead to the blurred two-dimensional (2D) images and further affect the interference performance during the InISAR procedure. Therefore, this paper proposes a 3D InISAR imaging algorithm for the ship targets based on the cubic phase signal (CPS) model. This method approximates the azimuth echo signal as a CPS and utilises the particle swarm optimization algorithm to estimate the higher-order phase coefficients. While preserving the phase information, the 3D image result can be achieved by the interference processing between the high-resolution 2D images. The effectiveness of the algorithm is validated through the simulation experiments under different baseline lengths and signal-to-noise ratios.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"18 10","pages":"1691-1709"},"PeriodicalIF":1.4,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.12603","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142587963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multichannel Wiener filter in active sound-navigation-and-ranging systems—A joint beamformer and matched filter approach 有源声音导航和测距系统中的多通道维纳滤波器--波束成形器和匹配滤波器联合方法

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2024-06-08 DOI: 10.1049/rsn2.12593

Bastian Kaulen, Jan Abshagen, Gerhard Schmidt

{"title":"Multichannel Wiener filter in active sound-navigation-and-ranging systems—A joint beamformer and matched filter approach","authors":"Bastian Kaulen, Jan Abshagen, Gerhard Schmidt","doi":"10.1049/rsn2.12593","DOIUrl":"https://doi.org/10.1049/rsn2.12593","url":null,"abstract":"Conventional active SONAR systems often use beamformers and matched filters separately to extract bearing and range information from the received signal and offer a straightforward way of creating a two-dimensional map of the environment. In SONAR systems the minimum-variance-distortionless-response beamformer (MVDR beamformer) is a commonly used type of beamformer, which will reconstruct the receive signal from a certain direction optimally. In terms of detecting the transmit signal, the most used method is the conventional matched filter. Both algorithms are simple to implement and perform well under various noise scenarios. The proposed method combines the beamformer and matched filter by introducing an extended channel model that allows the derivation of a multichannel Wiener filter to solve for the unknown reflection coefficients of the complete two-dimensional environment. This results in adaptively calculated filter weights that will drastically improve the performance compared to a separate MVDR beamformer and matched filter. In addition, a parameter is introduced with which one can arbitrarily adjust the focus between angular and temporal resolution depending on the application. After the derivation, the performance is demonstrated with simulations and measurements.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"18 9","pages":"1554-1569"},"PeriodicalIF":1.4,"publicationDate":"2024-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.12593","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142170183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A high precision estimation algorithm for multi-channel wide-area surveillance ground moving target indication mode based on maximum likelihood method 基于最大似然法的多通道广域监控地面移动目标指示模式的高精度估计算法

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2024-06-05 DOI: 10.1049/rsn2.12585

He Yan, Wenshuo Xu, Hui Liu, Jialin Hao, Zhou Min, Daiyin Zhu

引用次数: 0

Distributed multi-station target tracking based on unscented particle filter and Dempster-Shafer theory 基于无香味粒子滤波器和 Dempster-Shafer 理论的分布式多站目标跟踪

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2024-05-31 DOI: 10.1049/rsn2.12594

Haoxuan Du, Dazheng Feng, Meng Wang, Xuqi Shen, Duo Ye

{"title":"Distributed multi-station target tracking based on unscented particle filter and Dempster-Shafer theory","authors":"Haoxuan Du, Dazheng Feng, Meng Wang, Xuqi Shen, Duo Ye","doi":"10.1049/rsn2.12594","DOIUrl":"https://doi.org/10.1049/rsn2.12594","url":null,"abstract":"In a distributed multi-station system, the observations received by local radar nodes for a single target will have a large signal-to-noise ratio (SNR) bias due to inconsistent radar cross-sections from distinct angles, different distances from the target, various local interference such as harsh weather, and dissimilar background noise. Integrating heterogeneous information in dynamic and uncertain environments can be challenging for the fusion centre. Moreover, the particles in the basic particle filter (PF) may degrade after many iterations, making it difficult to achieve accurate target state estimation in the local tracking process. To address these issues, the authors propose a novel method named DS-UPF based on the Dempster–Shafer (DS) theory and the unscented particle filter (UPF). By updating the important density function, the UPF efficiently suppresses particle degradation. The weighted Basic Probability Assignments (BPAs) are proposed and integrated under the new synthesis formula. The weight-modified DS method restrains the impact of significant local estimation errors on weighted BPAs fusion result, improving robustness without local interference prior knowledge. The experimental results demonstrate that the DS-UPF outperforms the unscented Kalman filter, PF, and UPF in tracking tasks under various local interference. This indicates that the proposed algorithm can improve estimation precision in dynamic and uncertain environments.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"18 9","pages":"1570-1583"},"PeriodicalIF":1.4,"publicationDate":"2024-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.12594","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142170302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Broad observation area and high resolution using identifier for synthetic aperture radars 利用合成孔径雷达识别器实现宽观测区域和高分辨率

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2024-05-31 DOI: 10.1049/rsn2.12576

Takayoshi Furuno

{"title":"Broad observation area and high resolution using identifier for synthetic aperture radars","authors":"Takayoshi Furuno","doi":"10.1049/rsn2.12576","DOIUrl":"https://doi.org/10.1049/rsn2.12576","url":null,"abstract":"To achieve broad observation areas and high resolution, synthetic aperture radars adopt wavelet-transformed observation areas that contain information on position and velocity. The observation area adopts pseudosignals with scattering information about the position and velocity in three dimensions. The wavelet transform (WT) is applied to micromoving targets to obtain a pseudosignal, and each micromoving target is defined by an Identifier (ID) of parameter scale a and parameter shift b. Because the interval of each micromoving target is minimised by the WT, the array of all micromoving targets becomes a continuum that can be represented by straight or curved lines. Every micromoving target can be identified by an ID as long as the micromoving targets do not overlap. Every moving signal in a three-dimensional space can be identified by the abovementioned ID. The results demonstrated that the observation area can be broadened by employing the minimum number of units with micromoving targets. In addition, micromoving targets in the observation area can be obtained at a high resolution (3 cm), and the position of the ID does not change owing to noise. The developments presented can contribute to the fast detection of earthquakes.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"18 8","pages":"1333-1339"},"PeriodicalIF":1.4,"publicationDate":"2024-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.12576","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141973642","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A novel motion compensation algorithm for spaceborne inverse synthetic aperture radar imaging of air target under low signal-to-noise ratio condition 低信噪比条件下用于机载反合成孔径雷达空中目标成像的新型运动补偿算法

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2024-05-30 DOI: 10.1049/rsn2.12586

Yichen Zhou, Yong Wang

{"title":"A novel motion compensation algorithm for spaceborne inverse synthetic aperture radar imaging of air target under low signal-to-noise ratio condition","authors":"Yichen Zhou, Yong Wang","doi":"10.1049/rsn2.12586","DOIUrl":"https://doi.org/10.1049/rsn2.12586","url":null,"abstract":"The spaceborne Inverse Synthetic Aperture Radar (ISAR) has garnered significant attention due to its extensive observation range and robust anti-attack capabilities. Consequently, the ISAR imaging research of air targets based on a spaceborne platform has crucial application value. However, unlike the traditional ground-based radar system, the spaceborne platform moves along its own orbit while observing the air target, and the received signal energy is weakened due to the extended observation distance. Therefore, it is important to optimise the existing ISAR imaging geometry models and motion compensation algorithms. The authors first construct a geometric model of spaceborne ISAR imaging for air targets. Aiming at the problem of low signal-to-noise ratio (SNR), a novel translational motion compensation algorithm based on motion parameter estimation is proposed. The algorithm compensates for both distance migration and Doppler migration caused by the first-order and second-order motion components of relative motion, respectively. Finally, simulation and semi-physical simulation results validate the effectiveness and superiority of the proposed algorithm under different SNR and motion conditions.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"18 9","pages":"1444-1459"},"PeriodicalIF":1.4,"publicationDate":"2024-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.12586","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142170314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0