Iet Radar Sonar and Navigation最新文献_第3页

Spectrum-sensing algorithm based on graph feature fusion

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2024-12-10 DOI: 10.1049/rsn2.12674

Shanshan Wu, Guobing Hu, Bin Gu

{"title":"Spectrum-sensing algorithm based on graph feature fusion","authors":"Shanshan Wu, Guobing Hu, Bin Gu","doi":"10.1049/rsn2.12674","DOIUrl":"https://doi.org/10.1049/rsn2.12674","url":null,"abstract":"Graph-based spectrum sensing in noisy environments has major implications for civilian and military signal processing applications. However, existing algorithms suffer from high computational complexity and performance deterioration at low signal-to-noise ratios (SNRs). Therefore, a spectrum-sensing algorithm based on graph feature fusion using a quadratic form derived from self-loop weights and the graph Laplacian matrix is proposed in this study. The sum of the first and second block maxima of the power spectrum of the observed signal is selected as the input to the graph converter. Self-loop weights are combined with the Laplacian matrix to construct the graph quadratic form, which serves as the test statistic for decision-making. By applying majorisation and the extreme value theory, it is demonstrated that the proposed algorithm outperforms existing methods. The simulation results confirm the robust spectrum-sensing performance across various signal modulation types and pulse shapes. Thus, compared to existing algorithms, except block range- and energy-detection-based methods, the proposed algorithm demonstrates the best spectrum-sensing performance under low SNRs and channel-fading conditions, while achieving the lowest computational complexity. The proposed approach enables more efficient and accurate spectrum sensing, fostering advancements in communication technologies and defence applications.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"18 12","pages":"2709-2725"},"PeriodicalIF":1.4,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.12674","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143251972","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

Robust design of mismatched filters in echo truncation for inter-pulse waveform diversity radar

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2024-12-10 DOI: 10.1049/rsn2.12684

Xiaojian Xu, Dehua Zhao, Liang Zhang

引用次数: 0

Single receiver Long-Term Evolution passive radar system using signal reconstruction for moving target detection

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2024-12-10 DOI: 10.1049/rsn2.12662

Lionel de Guenin, Patrick Rosson, Nicolas Petrochilos, Eric Moreau

引用次数: 0

Noncircular coherent signal direction of arrival estimation for coprime array: A subspace-based interpolation approach

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2024-12-08 DOI: 10.1049/rsn2.12675

Zihan Shen, Hao Hu, Jiaqi Li, Xiaofei Zhang

{"title":"Noncircular coherent signal direction of arrival estimation for coprime array: A subspace-based interpolation approach","authors":"Zihan Shen, Hao Hu, Jiaqi Li, Xiaofei Zhang","doi":"10.1049/rsn2.12675","DOIUrl":"https://doi.org/10.1049/rsn2.12675","url":null,"abstract":"To address the array aperture loss caused by mainstream direction of arrival (DOA) estimation algorithms for coherent signals using matrix interpolation techniques, a non-circular (NC) coherent signal direction-finding method that fully utilises covariance matrix information is proposed. The received data is firstly extended by leveraging its NC properties. Then, eigenvalue decomposition is performed on the covariance matrix to extract the signal subspace, which is mapped to a uniform linear array signal subspace via a mapping matrix. The first row of the covariance matrix corresponding to the signal subspace is employed to construct a Toeplitz matrix, and nuclear norm minimisation method is applied to recover the missing information. Finally, to avoid extra NC phase searching, the reduced-dimension method is applied to obtain the estimation results. Performance analysis and simulation results show that the proposed algorithm achieves improvements in computational complexity, source estimation capability, and estimation accuracy.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"18 12","pages":"2726-2736"},"PeriodicalIF":1.4,"publicationDate":"2024-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.12675","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143248946","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-target cognitive electronic reconnaissance for unmanned aerial vehicles based on scene reconstruction

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2024-12-06 DOI: 10.1049/rsn2.12668

Yun Zhang, Shixun You, Yunbin Yan, Qiaofeng Ou, Jie Liu, Ling Chen, Xiang Zhu

{"title":"Multi-target cognitive electronic reconnaissance for unmanned aerial vehicles based on scene reconstruction","authors":"Yun Zhang, Shixun You, Yunbin Yan, Qiaofeng Ou, Jie Liu, Ling Chen, Xiang Zhu","doi":"10.1049/rsn2.12668","DOIUrl":"https://doi.org/10.1049/rsn2.12668","url":null,"abstract":"Model-free deep reinforcement learning (DRL) is regarded as an effective approach for multi-target cognitive electronic reconnaissance (MCER) missions. However, DRL networks with poor generalisation can significantly reduce mission completion rates when parameters such as reconnaissance area size, target number, and platform speed vary slightly. To address this issue, this paper introduces a novel scene reconstruction method for MCER missions and a mission group adaptive transfer deep reinforcement learning (MTDRL) algorithm. The algorithm enables quick adaptation of reconnaissance strategies for varied mission scenes by transferring strategy templates and compressing multi-target perception states. To validate the method, the authors developed a transfer learning model for unmanned aerial vehicle (UAV) MCER. Three sets of experiments are conducted by varying the reconnaissance area size, the target number, and the platform speed. The results show that the MTDRL algorithm outperforms two commonly used DRL algorithms, with an 18% increase in mission completion rate and a 5.49 h reduction in training time. Furthermore, the mission completion rate of the MTDRL algorithm is much higher than that of a typical non-DRL algorithm. The UAV demonstrates stable hovering and repeat reconnaissance behaviours at the radar detection boundary, ensuring flight safety during missions.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"18 12","pages":"2667-2680"},"PeriodicalIF":1.4,"publicationDate":"2024-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.12668","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143248784","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

Near-field scattering centre modelling for complex targets

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2024-12-04 DOI: 10.1049/rsn2.12667

Yanxi Chen, Kunyi Guo, Zhouyang Liu, Xinqing Sheng

{"title":"Near-field scattering centre modelling for complex targets","authors":"Yanxi Chen, Kunyi Guo, Zhouyang Liu, Xinqing Sheng","doi":"10.1049/rsn2.12667","DOIUrl":"https://doi.org/10.1049/rsn2.12667","url":null,"abstract":"The parametric scattering centre (SC) model of the target has been widely used in the rapid simulation of radar image. Most of the existing SC models are suitable for far-field scattering where the radar cross section (RCS) is independent of the distance from the target to the radar. However, when the electromagnetic scattering of the target is in the near-field region of radiation, the RCS of the target changes dramatically in distance. The existing SC model cannot characterise these important near-field characteristics. In this paper, the near-field model with the dependence description of the SC on the distance is proposed. Firstly, the scattering characteristics of several main geometric structures of the extended target in the near-field radiation region are analysed. Then, on the basis of far-field SC model expressions, the description of the relationship between amplitude and phase of the SC model and distance is added. Finally, the correctness of the near-field SC model is verified by comparing with the accurate full-wave numerical method. In order to further illustrate the practicability of the near-field SC model, an actual aircraft target is used. The results proved that the near-field SC model has the advantages of high accuracy and high computational efficiency.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"18 12","pages":"2657-2666"},"PeriodicalIF":1.4,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.12667","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143248362","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 approach to simulate moving targets in automotive radar applications

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2024-12-03 DOI: 10.1049/rsn2.12679

Linyan Zhang, Chengfa Xu, Haiqing Jiang, Wulong Zhang

引用次数: 0

A belief propagation algorithm based on track-before-detect for tracking low-observable and manoeuvering targets using multiple sensors

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2024-11-30 DOI: 10.1049/rsn2.12673

Chenghu Cao, Haisheng Huang, Xin Li, Yongbo Zhao

{"title":"A belief propagation algorithm based on track-before-detect for tracking low-observable and manoeuvering targets using multiple sensors","authors":"Chenghu Cao, Haisheng Huang, Xin Li, Yongbo Zhao","doi":"10.1049/rsn2.12673","DOIUrl":"https://doi.org/10.1049/rsn2.12673","url":null,"abstract":"It is notoriously challenging work to track an unknown number of low-observable manoeuvering targets. In this paper, a sequential Bayesian inference method based on the multiple-model dynamic model and track-before-detect measurement (TBD) model is proposed for tracking low-observable manoeuvering targets using multiple sensors. The multiple-model dynamic model is capable to characterise the dynamic behaviour of manoeuvering targets. The TBD measurement model can completely capture an echo signal without any preprocessing, furtherly handling with low-observable targets. The authors’ proposed method is based on a new multi-sensor statistical model that allows targets to interact and contribute to more than one data cell for the pixeled image TBD approach. Based on the factor graph representing the multi-sensor statistical model, the marginal posterior densities are derived by performing the message passing equations of the proposed belief propagation algorithm for target detection and target state estimation. The simulation results validate that the computational complexity of our proposed multi-sensor BP-TBD algorithm scales in the number of sensor nodes and demonstrate that its performance is superior among the state-of-the-art multi-sensor TBD methods.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"18 12","pages":"2698-2708"},"PeriodicalIF":1.4,"publicationDate":"2024-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.12673","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143253708","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

Effect of phase centre variation on tropospheric delay in PPP-AR with low-cost global navigation satellite systems receiver and antenna

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2024-11-30 DOI: 10.1049/rsn2.12677

Jizhong Wu, Xiaoying Wang, Hongyang Ma

{"title":"Effect of phase centre variation on tropospheric delay in PPP-AR with low-cost global navigation satellite systems receiver and antenna","authors":"Jizhong Wu, Xiaoying Wang, Hongyang Ma","doi":"10.1049/rsn2.12677","DOIUrl":"https://doi.org/10.1049/rsn2.12677","url":null,"abstract":"As low-cost global navigation satellite systems receiver and antenna become increasingly prevalent for water vapour monitoring, precise millimetre-level characterisation of instrument biases is crucial for maintaining measurement accuracy and reliability. This study examines the impact of phase centre variation (PCV) corrections on zenith wet delay (ZWD) accuracy in precise point positioning (PPP) solutions using low-cost systems. The results show that PCV corrections significantly improve ZWD estimation, reducing bias and RMS by 66% and 31% in ambiguity float PPP, and by 71% and 38% in ambiguity fixed PPP. In addition, integer ambiguity resolution offers no significant improvement in ZWD accuracy without PCV correction. When PCV corrections and ambiguity fixing are applied, low-cost receivers demonstrate ZWD estimates comparable to those of high-precision geodetic receivers, with a deviation of 0.2 mm and an RMS of 2 mm. However, variations in signal tracking and multipath suppression can still influence ambiguity fixing rates, resulting in slightly lower performance for low-cost receivers compared to their high-precision counterparts. The study concludes that deploying low-cost receivers with calibrated antennas offers a cost-effective approach to increasing the spatial resolution of atmospheric water vapour measurements, thereby enhancing weather monitoring and early warning systems, particularly for localised extreme weather events.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"18 12","pages":"2737-2748"},"PeriodicalIF":1.4,"publicationDate":"2024-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.12677","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143253709","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 method based on BRD/BRRD for moving target localisation with minimal transmitters

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2024-11-27 DOI: 10.1049/rsn2.12663

Mingzhu Yan, Haihong Tao, Le Wang

{"title":"A method based on BRD/BRRD for moving target localisation with minimal transmitters","authors":"Mingzhu Yan, Haihong Tao, Le Wang","doi":"10.1049/rsn2.12663","DOIUrl":"https://doi.org/10.1049/rsn2.12663","url":null,"abstract":"During the procedure of three-dimensional (3D) moving target localisation in multistatic passive radar (MPR) system, conventional closed-form algorithms and their enhanced versions necessitate at least four transmitters to obtain unambiguous localisation, and they are prone to poor noise resistance. In this paper, based on multiple sets of bistatic range difference (BRD) and bistatic range rate difference (BRRD) measurements, an innovative closed-form algorithm is proposed which, combines an improved two-step weighted least squares (ITSWLS) using the Newton method (NM) to minimise the number of transmitters required for localization. In a 3D environment, this algorithm can precisely localise targets with merely three transmitters. Compared with the existing closed-form algorithms, this algorithm saves one transmitter resource, breaking through the constraints of traditional approaches. After theoretical analysis and simulation verification, in the presence of just three transmitters, the estimation accuracy of the algorithm for both near-field and far-field target parameters can reach the Cramér–Rao lower bound (CRLB) when the measurement noise is low. If an additional transmitter is incorporated, this algorithm has higher localization accuracy and better noise resistance compared to the elliptic localization (EL), TSWLS, ITSWLS, and Taylor algorithms.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"18 12","pages":"2617-2629"},"PeriodicalIF":1.4,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.12663","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143253677","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