Iet Radar Sonar and Navigation最新文献_第2页

Data-driven observability analysis and enhancement for radome slope estimation with constraints on impact angle and terminal acceleration 雷达罩坡度估计的数据驱动可观测性分析和增强，同时对撞击角和终端加速度进行约束

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2024-08-05 DOI: 10.1049/rsn2.12625

Bingyu Jin, Kelin Lu, Yuping Lu

{"title":"Data-driven observability analysis and enhancement for radome slope estimation with constraints on impact angle and terminal acceleration","authors":"Bingyu Jin, Kelin Lu, Yuping Lu","doi":"10.1049/rsn2.12625","DOIUrl":"https://doi.org/10.1049/rsn2.12625","url":null,"abstract":"The authors address the problem of observability analysis and enhancement for missiles equipped with strapdown seekers, especially considering the line-of-sight angle-only measurements and the constraints on impact angle and terminal acceleration. First, based on the generalised polynomial chaos expansion, a novel data-driven observability analysis method is proposed to quantitatively analyse the observability of the radome aberration estimation system in real time, including the observability condition, the observability degree of each state and the effect of stochastic noises. The results show that under conventional proportional navigation guidance, the radome aberration estimation system is weakly observable with line-of-sight angle-only measurements. To address this problem, a novel manoeuvre algorithm, the observability-enhanced guidance law, is introduced to enhance the system observability within specified constraints, thereby improving the estimation performance. This guidance law incorporates a bias term to meet terminal constraints, and optimises the navigation gain using the proposed observability indices. Simulations are conducted to verify the performance of the proposed guidance law in conjunction with a target state estimator.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"18 10","pages":"1887-1907"},"PeriodicalIF":1.4,"publicationDate":"2024-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.12625","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142588203","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

An efficient gradient descent approach to separate a mixture of secondary surveillance radar replies based on disjoint component analysis 基于离散分量分析的高效梯度下降法分离二次监视雷达回波混合物

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2024-08-02 DOI: 10.1049/rsn2.12626

Sara Zaghloul, Nicolas Petrochilos, Mamadou Mboup

引用次数: 0

Golay complementary sequence and constant envelope orthogonal frequency-division multiplexing-based for integrated sensing and communication with mutual information analysis 基于戈莱互补序列和恒包络正交频分复用技术的综合传感与通信互信息分析技术

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2024-08-01 DOI: 10.1049/rsn2.12622

Xinyu Chen, Bin Rao, Dan Song, Wei Wang, Xiaohai Zou

{"title":"Golay complementary sequence and constant envelope orthogonal frequency-division multiplexing-based for integrated sensing and communication with mutual information analysis","authors":"Xinyu Chen, Bin Rao, Dan Song, Wei Wang, Xiaohai Zou","doi":"10.1049/rsn2.12622","DOIUrl":"https://doi.org/10.1049/rsn2.12622","url":null,"abstract":"The design of waveforms plays a critical role in integrated sensing and communication (ISAC) systems. An ISAC waveform with a 0dB peak-to-average power ratio (PAPR) is designed by combining a Golay complementary sequence with a constant envelope orthogonal frequency-division multiplexing. By adjusting the phase modulation parameters, this waveform allows for a trade-offs between communication and sensing capabilities. The authors focus on several key performance metrics for the proposed ISAC waveform, notably using mutual information as a holistic performance indicator to assess both sensing and communication effectiveness. Through extensive numerical simulations, the authors demonstrate that the ISAC waveform significantly enhances detection probability compared to traditional phase-modulated waveforms. The findings suggest that this approach is beneficial for designing low PAPR phase-modulated ISAC waveforms, enhancing both the functionality and efficiency of ISAC systems.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"18 10","pages":"1848-1858"},"PeriodicalIF":1.4,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.12622","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142588111","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

Low angle estimation in MIMO radar based on unitary ESPRIT under spatial smoothing 基于空间平滑下单元 ESPRIT 的 MIMO 雷达低角度估计

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2024-08-01 DOI: 10.1049/rsn2.12619

Cong Qin, Qin Zhang, Guimei Zheng, Yu Zheng, Gangsheng Zhang

{"title":"Low angle estimation in MIMO radar based on unitary ESPRIT under spatial smoothing","authors":"Cong Qin, Qin Zhang, Guimei Zheng, Yu Zheng, Gangsheng Zhang","doi":"10.1049/rsn2.12619","DOIUrl":"https://doi.org/10.1049/rsn2.12619","url":null,"abstract":"Aiming at the problem that the overlapping of multipath signals seriously affects the radar's performance of the elevation angle estimation for low-altitude targets, the authors combine the unitary ESPRIT (UESPRIT) and the multi-input and multi-output (MIMO) radar system and propose an algorithm based on UESPRIT to estimate the direction of arrival for low-altitude targets. Firstly, the virtual matrix after generalised matched filtering of MIMO radar multipath received signals is vectorised. Secondly, for the coherence of direct and reflected wave signals, which cannot be directly processed by the UESPRIT algorithm, the signal preprocessing is performed by spatial smoothing of the sampled data matrices. Finally, the low-altitude target estimation is carried out by using the UESPRIT algorithm. The Cramer–Rao bound (CRB) for arbitrary unbiased estimation of angle estimation is derived. The relationship between the estimation performance of the algorithm and the signal-to-noise ratio, the number of snapshots and the number of elements is analysed by simulation and compared with CRB. The simulation results show that the algorithm can still effectively estimate the elevation angle of low-altitude targets under the mutual weakening of direct and multipath reflection signals, and has better performance for low-altitude targets than generalised MUSIC.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"18 10","pages":"1829-1836"},"PeriodicalIF":1.4,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.12619","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142588112","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

Quantum illumination radars: Target detection 量子照明雷达：目标探测

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2024-08-01 DOI: 10.1049/rsn2.12592

Jingxin Wang, Kon Max Wong

引用次数: 0

Application research on vector coherent frequency-domain batch adaptive line enhancement in deep water 深水矢量相干频域批量自适应线增强应用研究

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2024-07-29 DOI: 10.1049/rsn2.12621

He Li, Tong Wang, Xinyi Guo, Lin Su, Yaxiao Mo

{"title":"Application research on vector coherent frequency-domain batch adaptive line enhancement in deep water","authors":"He Li, Tong Wang, Xinyi Guo, Lin Su, Yaxiao Mo","doi":"10.1049/rsn2.12621","DOIUrl":"https://doi.org/10.1049/rsn2.12621","url":null,"abstract":"The low frequency line spectrum noise radiated by ships has strong stability and is difficult to eliminate, which is the key information required for passive signal detection. A vector coherent frequency-domain batch adaptive line enhancement method is proposed to address the issue of insufficient detection capability of traditional scalar adaptive line enhancement (ALE) algorithms for ship characteristic line spectra in complex deep-sea environments. This method not only introduces the idea of frequency-domain batch processing, but also uses synchronously collected sound pressure and particle velocity as dual input, fully utilising the coherence characteristics between vector channels to output high gain line spectrum signals and improve computational efficiency. In simulation and sea trial data validation, compared with the time-domain vector coherent adaptive line enhancement algorithm, this method has shorter time consumption, higher efficiency, and can improve the detection ability of line spectrum signals under low signal-to-noise ratio conditions. The bearing estimation results output by this algorithm is also more accurate.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"18 10","pages":"1859-1873"},"PeriodicalIF":1.4,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.12621","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142588247","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

Multi-source DOA estimation based on multi-UAV collaboration in complex GNSS spoofing environments 复杂 GNSS 欺骗环境下基于多 UAV 协作的多源 DOA 估计

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2024-07-25 DOI: 10.1049/rsn2.12620

Jianwei Zhou, Wenjie Wang, Chenhao Zhang

{"title":"Multi-source DOA estimation based on multi-UAV collaboration in complex GNSS spoofing environments","authors":"Jianwei Zhou, Wenjie Wang, Chenhao Zhang","doi":"10.1049/rsn2.12620","DOIUrl":"https://doi.org/10.1049/rsn2.12620","url":null,"abstract":"Unmanned Aerial Vehicles (UAVs) are widely used in both military and civilian sectors due to their maneuverability and versatility. However, UAVs rely on the Global Navigation Satellite System (GNSS) for real-time accurate navigation and are therefore vulnerable to attacks, particularly spoofing attacks, in GNSS-challenging environments. Furthermore, UAV payloads are generally limited to carrying only a single antenna, significantly restricting the spatial Degrees of Freedom (DoFs) available. A new scheme is presented to address the challenges posed by multiple spoofing sources for UAV GNSS navigation. Unlike conventional multi-antenna techniques, our approach extends centralised multi-antenna Direction of Arrival (DOA) estimation to distributed scenarios using UAV collaboration techniques. The multi-source DOA estimation of GNSS spoofing is achieved using the space-time DOA matrix (ST-DOAMatrix) technique, which enhances system resilience and spatial DoFs. Simulation results validate the effectiveness of the proposed method and demonstrate the feasibility and potential of the technique in ensuring the proper and safe operation of UAVs using GNSS navigation.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"18 10","pages":"1837-1847"},"PeriodicalIF":1.4,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.12620","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142588220","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

Circular synthetic aperture radar sub-aperture angle information complementation based on azimuth-controllable generative adversarial network 基于方位角可控生成式对抗网络的环形合成孔径雷达子孔径角信息互补

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2024-07-25 DOI: 10.1049/rsn2.12616

Bingxuan Li, Yanheng Ma, Lina Chu, Wei Li, Yuanping Shi

{"title":"Circular synthetic aperture radar sub-aperture angle information complementation based on azimuth-controllable generative adversarial network","authors":"Bingxuan Li, Yanheng Ma, Lina Chu, Wei Li, Yuanping Shi","doi":"10.1049/rsn2.12616","DOIUrl":"https://doi.org/10.1049/rsn2.12616","url":null,"abstract":"A conditional generative adversarial network (CGAN) framework is proposed to address the issue of incomplete circular synthetic aperture radar (CSAR) azimuthal information due to motion errors. Specifically, the authors propose a novel CGAN architecture that can control the azimuth angle for arbitrary angle generation, capable of complementing missing CSAR sub-aperture information. The network incorporates angular labels for various scenarios and integrates a dynamic region-aware convolution (DRconv) module. Additionally, to counteract the common challenge of mode collapse in GAN training, a mode seeking regularisation technique is innovativrly introduced into the authors’ loss function. The efficacy of the proposed network is rigorously tested using both the MSTAR dataset and an X-band SAR dataset. The results demonstrate that the authors’ network can generate high-fidelity SAR images with controllable azimuths, closely resembling authentic images. Furthermore, the proposed method excels in complementing missing CSAR sub-aperture information, effectively supplying the lost angular information due to motion errors. A new technical approach for SAR image generation is not only offered but it also has the potential to significantly expand SAR datasets. This advancement is expected to enhance the quality and utility of SAR imagery in applications such as surveillance, reconnaissance, and environmental monitoring.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"18 10","pages":"1779-1795"},"PeriodicalIF":1.4,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.12616","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142588276","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

Active sonar target recognition method based on multi-domain transformations and attention-based fusion network 基于多域变换和注意力融合网络的主动声纳目标识别方法

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2024-07-19 DOI: 10.1049/rsn2.12618

Qingcui Wang, Shuanping Du, Wei Zhang, Fangyong Wang

{"title":"Active sonar target recognition method based on multi-domain transformations and attention-based fusion network","authors":"Qingcui Wang, Shuanping Du, Wei Zhang, Fangyong Wang","doi":"10.1049/rsn2.12618","DOIUrl":"https://doi.org/10.1049/rsn2.12618","url":null,"abstract":"The classification and recognition of underwater targets by an active sonar system remain challenging and complex. Traditional methods have limited classification performance in time and spatially varying ocean channels. An active sonar target recognition method is proposed based on multi-domain transformations and an attention-based fusion network. Initially, the active target echo undergoes time-frequency analysis, auditory signal processing, and matched filtering to represent target attributes in joint spatial-time-frequency domains. Subsequently, multiple attention-based fusion models fuse the multi-domain transformations either early or late in the processing stages. An attention module further enhances significant feature channels through adaptive weight assignment. Experiment results demonstrate that the recognition accuracy of active sonar echoes using multi-domain transformations improves significantly compared to that of single-domain methods, with an increase of up to 10.5%. The incorporation of multiple transformation domains provides complementary information about the target, thereby enhancing the network's representation ability, especially with limited data samples. Furthermore, the findings indicate that feature fusion of multiple transformations in a high-level feature space yields more informative and effective results for active sonar echoes compared to low-level feature spaces.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"18 10","pages":"1814-1828"},"PeriodicalIF":1.4,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.12618","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142588002","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

Data-driven target localization using adaptive radar processing and convolutional neural networks 利用自适应雷达处理和卷积神经网络进行数据驱动的目标定位

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2024-07-16 DOI: 10.1049/rsn2.12600

Shyam Venkatasubramanian, Sandeep Gogineni, Bosung Kang, Ali Pezeshki, Muralidhar Rangaswamy, Vahid Tarokh

{"title":"Data-driven target localization using adaptive radar processing and convolutional neural networks","authors":"Shyam Venkatasubramanian, Sandeep Gogineni, Bosung Kang, Ali Pezeshki, Muralidhar Rangaswamy, Vahid Tarokh","doi":"10.1049/rsn2.12600","DOIUrl":"https://doi.org/10.1049/rsn2.12600","url":null,"abstract":"Leveraging the advanced functionalities of modern radio frequency (RF) modeling and simulation tools, specifically designed for adaptive radar processing applications, this paper presents a data-driven approach to improve accuracy in radar target localization post adaptive radar detection. To this end, we generate a large number of radar returns by randomly placing targets of variable strengths in a predefined area, using RFView®, a high-fidelity, site-specific, RF modeling & simulation tool. We produce heatmap tensors from the radar returns, in range, azimuth [and Doppler], of the normalized adaptive matched filter (NAMF) test statistic. We then train a regression convolutional neural network (CNN) to estimate target locations from these heatmap tensors, and we compare the target localization accuracy of this approach with that of peak-finding and local search methods. This empirical study shows that our regression CNN achieves a considerable improvement in target location estimation accuracy. The regression CNN offers significant gains and reasonable accuracy even at signal-to-clutter-plus-noise ratio (SCNR) regimes that are close to the breakdown threshold SCNR of the NAMF. We also study the robustness of our trained CNN to mismatches in the radar data, where the CNN is tested on heatmap tensors collected from areas that it was not trained on. We show that our CNN can be made robust to mismatches in the radar data through few-shot learning, using a relatively small number of new training samples.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"18 10","pages":"1638-1651"},"PeriodicalIF":1.4,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.12600","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142588032","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