Iet Radar Sonar and Navigation最新文献_第10页

Model selection techniques for seafloor scattering statistics in synthetic aperture sonar images of complex seafloors 复杂海底合成孔径声呐图像中海底散射统计模型选择技术

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2024-06-30 DOI: 10.1049/rsn2.12608

Derek R. Olson, Marc Geilhufe

{"title":"Model selection techniques for seafloor scattering statistics in synthetic aperture sonar images of complex seafloors","authors":"Derek R. Olson, Marc Geilhufe","doi":"10.1049/rsn2.12608","DOIUrl":"https://doi.org/10.1049/rsn2.12608","url":null,"abstract":"In quantitative analysis of seafloor scattering measurements, it is common to model the single-point probability density function of the scattered intensity or amplitude. For more complex seafloors, the pixel amplitude distribution has previously been modelled with a mixture model consisting of two K distributions, but the environment may have more identifiable scattering mechanisms. Choosing the number of components of a mixture model is a decision that must be made, using a priori information, or using a data driven approach. Several common model selection techniques from the statistics literature are explored (the Akaike, Bayesian, deviance, and Watanabe-Akaike information criteria) and compared to the authors' choice. Examples are given for synthetic aperture sonar data collected by an autonomous underwater vehicle in a rocky environment off the coast of Bergen, Norway, using the HISAS-1032 synthetic aperture sonar system. The Bayesian information criterion aligned most closely with the interpretation of both the acoustic images and the plots of the probability of false alarm.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"18 11","pages":"2044-2056"},"PeriodicalIF":1.4,"publicationDate":"2024-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.12608","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142762829","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

Artificial Intelligence applications in Noise Radar Technology 噪声雷达技术中的人工智能应用

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2024-06-28 DOI: 10.1049/rsn2.12503

Afonso L. Sénica, Paulo A. C. Marques, Mário A. T. Figueiredo

{"title":"Artificial Intelligence applications in Noise Radar Technology","authors":"Afonso L. Sénica, Paulo A. C. Marques, Mário A. T. Figueiredo","doi":"10.1049/rsn2.12503","DOIUrl":"https://doi.org/10.1049/rsn2.12503","url":null,"abstract":"Radar systems are a topic of great interest, especially due to their extensive range of applications and ability to operate in all weather conditions. Modern radars have high requirements such as its resolution, accuracy and robustness, depending on the application. Noise Radar Technology (NRT) has the upper hand when compared to conventional radar technology in several characteristics. Its robustness to jamming, low Mutual Interference and low probability of intercept are good examples of these advantages. However, its signal processing is more complex than that associated to a conventional radar. Artificial Intelligence (AI)-based signal processing is getting increasing attention from the research community. However, there is yet not much research on these methods for noise radar signal processing. The aim of the authors is to provide general information regarding the research performed on radar systems using AI and draw conclusions about the future of AI in noise radar. The authors introduce the use of AI-based algorithms for NRT and provide results for its use.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"18 7","pages":"986-1001"},"PeriodicalIF":1.4,"publicationDate":"2024-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.12503","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141631234","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

LRPS-GCN: A millimeter wave sparse imaging algorithm based on graph signal LRPS-GCN：基于图信号的毫米波稀疏成像算法

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2024-06-26 DOI: 10.1049/rsn2.12602

Li Che, Yongman Wu, Liubing Jiang, Yujie Mu

{"title":"LRPS-GCN: A millimeter wave sparse imaging algorithm based on graph signal","authors":"Li Che, Yongman Wu, Liubing Jiang, Yujie Mu","doi":"10.1049/rsn2.12602","DOIUrl":"https://doi.org/10.1049/rsn2.12602","url":null,"abstract":"Aiming at the problems of slow speed and poor accuracy of traditional millimeter wave sparse imaging, a sparse imaging algorithm based on graph convolution model is proposed from the perspective of sparse signal recovery. The graph signal model is constructed by combining the low-rank and piecewise smoothing(LRPS) regular terms, based on which the proximal operator is replaced by the denoising graph convolution network, and the graph convolution sparse reconstruction network LRPS-GCN is constructed, and the recovered target image is obtained by iterating with the optimal non-linear sparse variation. For the proposed algorithm, simulation experiments are carried out using synthetic datasets under different target densities, iteration times and noise environments, and compared with the traditional graph signal reconstruction algorithm and the deep compressed sensing reconstruction algorithm, and then use the measured data with varying degrees of sparsity to validate. The experimental results show that the reconstructed images by this algorithm have better performance in terms of normalised mean square error, target to background ratio, reconstruction time and memory usage.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"18 10","pages":"1652-1669"},"PeriodicalIF":1.4,"publicationDate":"2024-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.12602","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142588252","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

Modal ordered shape factors as radar feature set 作为雷达特征集的模态有序形状因子

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2024-06-24 DOI: 10.1049/rsn2.12610

Salem Salamah, Faisal Aldhubaib

{"title":"Modal ordered shape factors as radar feature set","authors":"Salem Salamah, Faisal Aldhubaib","doi":"10.1049/rsn2.12610","DOIUrl":"https://doi.org/10.1049/rsn2.12610","url":null,"abstract":"The characteristic polarisation states form a second layer feature set by reflecting shape attributes about that target, enabling better identification performance of the resonance signature. These shape factors reflect a structure's curvature extent, dihedral degree between corners, and the axial ratio between principal axes by determining two characteristic angles associated with the null polarisation state and a ratio of the optimum maximum and minimum received powers, respectively. However, the accuracy of the shape factors degrades with a poorly estimated resonance signature caused by noise, missing resonance due to occlusion or ambiguity in late time onset. Thus, the authors aim to reduce the effect of these problems using an ensemble average to filter noise and enhance the signal strength, properly selecting a modal order to ensure modal consistency of the signature and decay sum (DS) to select the late time onset properly to avoid missing resonance within the polarisation matrix. Finally, a paradigm of two jetfighters validated the factors' discriminative potential across an azimuth plane of low depression angle. The results showed that a DS around 0.4 improves the estimated factors over most resonance modes and azimuth directions. At most target aspects, the first-order shape factors consistently predicted a dominant parallel wedge-shaped structure, while the second-order shape factors consistently predicted a trough-shaped structure; finally, the third-order factors revealed wedge-shape attributes at forward look aspects but trough-shaped attributes at backward look aspects.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"18 10","pages":"1740-1749"},"PeriodicalIF":1.4,"publicationDate":"2024-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.12610","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142588239","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

Combination of the biologically inspired coupled system and high-frequency surface wave radar at signal level 信号级生物灵感耦合系统与高频表面波雷达的结合

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2024-06-24 DOI: 10.1049/rsn2.12596

Hongbo Li, Aijun Liu, Qiang Yang, Changjun Yu, Zhe Lyv

{"title":"Combination of the biologically inspired coupled system and high-frequency surface wave radar at signal level","authors":"Hongbo Li, Aijun Liu, Qiang Yang, Changjun Yu, Zhe Lyv","doi":"10.1049/rsn2.12596","DOIUrl":"https://doi.org/10.1049/rsn2.12596","url":null,"abstract":"Virtual aperture extension of small aperture array has attracted wide attention in high-frequency surface wave radar (HFSWR). A biologically inspired coupled (BIC) system is employed to virtually extend the array aperture. However, the existing researches on BIC only consider the array signal processing model and do not combine it with actual radar signal principle. To indeed apply the BIC system to HFSWR, two detailed methods which combine the BIC and HFSWR at signal level are proposed. A three-dimensional signal model of HFSWR considering array processing was established and the entire signal processing was derived. Then, two combination methods, namely fast-time domain (FTD)-BIC and slow-time domain (STD)-BIC are proposed. The former implements the BIC before fast-time processing, while the latter implements the BIC before slow-time processing. The authors demonstrate that they can virtually extend the array aperture without affecting the target detection. Meanwhile, their capabilities in multi-target scenarios are analysed and satisfactory conclusions are obtained. By numerical simulations and experiments, the array aperture and range-Doppler (RD) spectrum of the standard HFSWR and BIC-HFSWR are compared. The results show that while the performance of their RD spectrum is almost the same, BIC-HFSWR has an enlarged virtual aperture than standard HFSWR.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"18 10","pages":"1599-1614"},"PeriodicalIF":1.4,"publicationDate":"2024-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.12596","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142588238","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

Optimising collection geometry for long-range synthetic aperture sonar interferometry 远距离合成孔径声纳干涉测量的采集几何优化

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2024-06-21 DOI: 10.1049/rsn2.12607

Roy Edgar Hansen, Torstein Olsmo Sæbø

引用次数: 0

Source depth estimation based on the higher-order sound field in the deep ocean 基于深海高阶声场的声源深度估计

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2024-06-19 DOI: 10.1049/rsn2.12599

Dajun Sun, Zehua Wang, Junjie Shi, Minshuai Liang, Yi Chen

引用次数: 0

Implementation of unknown parameter estimation procedure for hybrid and discrete non-linear systems 混合和离散非线性系统未知参数估计程序的实现

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2024-06-19 DOI: 10.1049/rsn2.12604

Mahdi Razm-Pa

{"title":"Implementation of unknown parameter estimation procedure for hybrid and discrete non-linear systems","authors":"Mahdi Razm-Pa","doi":"10.1049/rsn2.12604","DOIUrl":"https://doi.org/10.1049/rsn2.12604","url":null,"abstract":"The application of the hybrid extended Kalman filter (HEKF), hybrid unscented Kalman filter (HUKF), hybrid particle filter (HPF), and hybrid extended Kalman particle filter (HEKPF) is discussed for hybrid non-linear filter problems, when prediction equations are continuous-time and the update equations are discrete-time, and also the discrete extended Kalman filter (DEKF), discrete unscented Kalman filter (DUKF), discrete particle filter (DPF), and discrete extended Kalman particle filter (DEKPF) for discrete-time non-linear filter problems, when prediction equations and update equations are discrete-time. In order to assess the performance of the filters, the authors consider the non-linear dynamics for a re-entry vehicle. The filters are used in two hybrid and discrete states to estimate the position, velocity, and drag parameter associated with the re-entry vehicle. Theoretical topics concerning estimating the drag parameter of a vehicle in re-entry phase have been dealt with. Drag parameter estimation is carried out using a combination of hybrid filters and discrete filters as an effective estimator and fixed value, forgetting factor, and Robbins-Monro stochastic approximation methods as the noise covariance matrix adjuster of the parameter.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"18 7","pages":"1036-1054"},"PeriodicalIF":1.4,"publicationDate":"2024-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.12604","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141631163","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

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