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

Efficient Coherent Integration Based on RDT-SCFT-KT for Manoeuvring Target With Doppler Ambiguity 基于RDT-SCFT-KT的多普勒模糊机动目标高效相干积分

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2025-07-10 DOI: 10.1049/rsn2.70054

Zeyu Xu, Gongjian Zhou

{"title":"Efficient Coherent Integration Based on RDT-SCFT-KT for Manoeuvring Target With Doppler Ambiguity","authors":"Zeyu Xu, Gongjian Zhou","doi":"10.1049/rsn2.70054","DOIUrl":"https://doi.org/10.1049/rsn2.70054","url":null,"abstract":"Range migration (RM), Doppler frequency migration (DFM) and Doppler ambiguity, arising from high-speed manoeuvre of target, render moving target detection particularly difficult. In this paper, an efficient method based on reversal decoupling transform (RDT), scaled Fourier transform (SCFT) and keystone transform (KT), that is, RDT-SCFT-KT, is proposed for effective long-time coherent integration (LTCI) of an accelerated manoeuvring target with Doppler ambiguity. More specifically, an efficient RDT is performed to tackle range curvature and some other unnecessary terms. After that, the scaled inverse Fourier transform (SCIFT) and SCFT are successively introduced to handle the linear RM and DFM, thereby realising two-dimensional (2-D) energy integration. Besides, velocity and acceleration with respect to target could be acquired by the aid of peak detection. With the compensation associated with the obtained parameters, a linear and nonsearching approach involving the KT is developed to efficiently attain the final energy focusing and the remaining target parameters (i.e., range and unambiguous velocity). Given the above, the proposed RDT-SCFT-KT method could achieve LTCI for accelerated manoeuvring target and exhibits low computational complexity without requiring parameter searching process. Meanwhile, it remains effective for Doppler ambiguity (including velocity ambiguity and Doppler spectrum ambiguity) and offers complete motion parameters. Besides, the final energy integration is a linear transform process, which facilitates multi-target processing. The efficacy of the RDT-SCFT-KT integration approach is substantiated through numerical experiments.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"19 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.70054","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144598749","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

CIAG: Conditional Idempotent Association Generation for Heterogeneous Track-to-Track Association 异构航迹到航迹关联的条件幂等关联生成

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2025-07-10 DOI: 10.1049/rsn2.70044

Pingliang Xu, Yaqi Cui, Wei Xiong

{"title":"CIAG: Conditional Idempotent Association Generation for Heterogeneous Track-to-Track Association","authors":"Pingliang Xu, Yaqi Cui, Wei Xiong","doi":"10.1049/rsn2.70044","DOIUrl":"https://doi.org/10.1049/rsn2.70044","url":null,"abstract":"In advanced defence and security systems, multi-sensor fusion is widely used to improve the overall observation capability, and heterogeneous sensors are a typical deployment in multi-sensor systems. Track-to-track association (T2TA) of heterogeneous sensors is the precondition and foundation of heterogeneous sensor track fusion. However, problems such as ubiquitous systematic and random errors, inconsistent update periods and features caused by two heterogeneous sensors bring significant challenges to T2TA and existing methods have not solved the above problems adequately. To address these problems, we propose conditional idempotent association generation for heterogeneous track-to-track association (CIAG). In CIAG, a track state mapping module (TSMM) is constructed to unify asynchronous and heterogeneous tracks from heterogeneous sensors. The TSMM can also mitigate the effects of systematic and random errors. An idempotent association generation module (IAGM) is constructed to model tracks and association matrices jointly, and generate association matrices directly and precisely. Moreover, CIAG realises an end-to-end generation from the track tensor to the association matrix that can avoid long time consumption caused by traversal calculations of tracks. Comprehensive experiments demonstrate that CIAG can achieve the best association performance and has better association efficiency.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"19 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.70044","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144598514","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 Jamming Method Based on Micro-Doppler Modulation and Electromagnetic Meta-Materials 基于微多普勒调制和电磁超材料的新型干扰方法

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2025-07-05 DOI: 10.1049/rsn2.70052

Guikun Liu, Honglin Li, Feng Ming, Liang Li, Jingwen Mou, Chen Song, Zhengshuai Li, Peng Wang

{"title":"A Novel Jamming Method Based on Micro-Doppler Modulation and Electromagnetic Meta-Materials","authors":"Guikun Liu, Honglin Li, Feng Ming, Liang Li, Jingwen Mou, Chen Song, Zhengshuai Li, Peng Wang","doi":"10.1049/rsn2.70052","DOIUrl":"https://doi.org/10.1049/rsn2.70052","url":null,"abstract":"The rotating corner reflector is widely used in passive jamming methods because of its micro-Doppler modulation effect on the echo signal of synthetic aperture radar. Nevertheless, the traditional methods based on this have problems of single jamming effect and limited jamming range, which are gradually unable to adapt to the increasingly complex electromagnetic countermeasure environment. Therefore, it is of great significance to optimise and improve this to achieve more abundant jamming effects. With the development of material technology, the electromagnetic meta-materials can realise the intra-pulse modulation of radar signals. Thus, a novel jamming method based on the uniform acceleration or deceleration rotating corner reflector and the periodic pulse modulation electromagnetic meta-material is proposed in this paper. Through changing the modulation parameters of proposed jamming model, four different types of jamming effects can be achieved and regulated flexibly. The imaging characteristics of proposed jamming model and the regulation effects of jamming parameters are analysed, respectively. Then, the simulation experiments are performed using the original echo data of airborne SAR system and the simulation results verify the correctness of theoretical analysis. Finally, the prototype design of proposed jamming model and the practical feasibility analysis are given, respectively, which can provide support for the subsequent engineering implementation.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"19 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.70052","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144558202","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

DetDSHAP: Explainable Object Detection for Uncrewed and Autonomous Drones With Shapley Values DetDSHAP：具有Shapley值的无人和自主无人机的可解释目标检测

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2025-06-18 DOI: 10.1049/rsn2.70042

Maxwell Hogan, Nabil Aouf

{"title":"DetDSHAP: Explainable Object Detection for Uncrewed and Autonomous Drones With Shapley Values","authors":"Maxwell Hogan, Nabil Aouf","doi":"10.1049/rsn2.70042","DOIUrl":"https://doi.org/10.1049/rsn2.70042","url":null,"abstract":"Automatic object detection onboard drones is essential for facilitating autonomous operations. The advent of deep learning techniques has significantly enhanced the efficacy of object detection and recognition systems. However, the implementation of deep networks in real-world operational settings for autonomous decision-making presents several challenges. A primary concern is the lack of transparency in deep learning algorithms, which renders their behaviour unreliable to both practitioners and the general public. Additionally, deep networks often require substantial computational resources, which may not be feasible for many compact portable platforms. This paper aims to address these challenges and promote the integration of deep object detectors in drone applications. We present a novel interpretative framework, DetDSHAP, designed to elucidate the predictions generated by the YOLOv5 detector. Furthermore, we propose utilising the contribution scores derived from our explanatory model as an innovative pruning technique for the YOLOv5 network, thereby achieving enhanced performance while minimising computational demands. Lastly, we provide performance evaluations of our approach demonstrating its efficiency across various datasets, including real data collected from drone-mounted cameras and established public benchmark datasets.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"19 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.70042","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144314930","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

Grating Lobe Suppression of Non-Periodic Geometric Formations Based on Modified Particle Swarm Optimization 基于改进粒子群优化的非周期几何形状光栅瓣抑制

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2025-06-14 DOI: 10.1049/rsn2.70046

Lin Qiu, Huijie Liu, Juan Chen, Hao Huang, Andrew W. H. Ip, Kai Leung Yung

{"title":"Grating Lobe Suppression of Non-Periodic Geometric Formations Based on Modified Particle Swarm Optimization","authors":"Lin Qiu, Huijie Liu, Juan Chen, Hao Huang, Andrew W. H. Ip, Kai Leung Yung","doi":"10.1049/rsn2.70046","DOIUrl":"https://doi.org/10.1049/rsn2.70046","url":null,"abstract":"For the issue of configuration difficulty in maintaining linear formations based on the same orbital plane for distributed space-based coherent aperture radar (DSCAR), it is necessary to modify the linear formation model into an arc formation model. This article derives the steering vector and joint pattern expressions for DSCAR based on uniform arc formation, and designs a segmented inertial factor (IF) particle swarm optimization (PSO) to seek the optimal solution for non-uniform spacing and random yaw angle in non-periodic geometric distribution. Simulation analysis shows that the combination of non-uniform spacing and random yaw angle in non-periodic geometric formations can achieve lower peak side lobe level (PSLL) compared to single non-uniform spacing and single random yaw angle but with wider beamwidth spread. Additionally, the segmented IF PSO proposed in this article balances convergence more quickly in the early stage of the search process and improves convergence speed to approach the optimal value (OV) in later stage. Compared with other IF PSO, it has better convergence speed and accuracy.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"19 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.70046","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144289235","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

Distributed Shipborne HFHSSWR Localisation Method Based on Gaussian Markov Fields 基于高斯马尔可夫场的分布式舰载HFHSSWR定位方法

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2025-06-13 DOI: 10.1049/rsn2.70045

Longyuan Xu, Peng Tong, Yinsheng Wei, Mingkai Ding

引用次数: 0

Machine Learning Doppler-Tolerant One-Bit Radar Detectors 机器学习容忍多普勒位雷达探测器

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2025-06-13 DOI: 10.1049/rsn2.70011

Kyle P. Wensell, Changshi Zhou, Alexander M. Haimovich, Abdallah Khreishah, Brent Lozneanu, Brandon Cannizzo, Evan A. Young, Lam T. Vo

{"title":"Machine Learning Doppler-Tolerant One-Bit Radar Detectors","authors":"Kyle P. Wensell, Changshi Zhou, Alexander M. Haimovich, Abdallah Khreishah, Brent Lozneanu, Brandon Cannizzo, Evan A. Young, Lam T. Vo","doi":"10.1049/rsn2.70011","DOIUrl":"https://doi.org/10.1049/rsn2.70011","url":null,"abstract":"Doppler-tolerant waveforms are some of the most common radar waveforms used in practice. However, their deterministic and repetitive nature impedes control of mutual interference when multiple radars operate in close proximity. Noise radar technology may address this problem but is not Doppler tolerant. In this study, we design a machine learning radar detector capable of Doppler-tolerant performance with noise waveforms. The detector is implemented as a feedforward multilayer neural network. We show that the detector may be trained to operate with one-bit data. Further, to evaluate the proposed detector's performance, we derive a closed-form expression of the receiver operating characteristic (ROC) for one-bit detection of a Swerling 1 target using the square-law detector under the assumption of low signal-to-noise ratio (SNR). Numerical results demonstrate that the proposed machine learning detector, when suitably trained, is capable of operating with Doppler tolerance over a wide range of Doppler shifts.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"19 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.70011","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144281358","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

Depth Estimation Method for Continuous Acoustic Signal Targets in Shallow Water Using a Linear Array 基于线性阵列的浅水连续声信号目标深度估计方法

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2025-06-07 DOI: 10.1049/rsn2.70034

Siqi Du, Dong Han, Ning Li

{"title":"Depth Estimation Method for Continuous Acoustic Signal Targets in Shallow Water Using a Linear Array","authors":"Siqi Du, Dong Han, Ning Li","doi":"10.1049/rsn2.70034","DOIUrl":"https://doi.org/10.1049/rsn2.70034","url":null,"abstract":"To overcome the limitations of existing methods in processing continuous acoustic signals—particularly issues related to modal aliasing and the constraints of Pekeris waveguide applications—this study proposes a depth estimation approach for continuous acoustic targets using hydrophone linear arrays. A horizontal linear array, designed to meet the resolution requirements of the F–K transform, is deployed to receive continuous acoustic signals. Environmental parameters are incorporated to fit the sound speed profile, and modal time-delay differences are calculated based on normal mode propagation models. Temporal compensation is then applied to each modal component of the received signals across array elements. The corrected signal matrix undergoes a bidirectional F–K transform transformation into the frequency–wavenumber domain, allowing for clear separation of the normal modes of continuous signals. Frequency–wavenumber curves are characterised based on the sound speed profile, and binary mask filters are designed to extract modal energy. Finally, a depth estimation matching function is constructed to facilitate energy search and matching. Simulation results indicate that the proposed method achieves depth estimation errors of less than 5% for 10-s broadband acoustic signals under negative sound speed profiles and real shallow-sea waveguide conditions. The method demonstrates improved stability and applicability in variable sound speed environments, offering greater practical value for real-world shallow-sea scenarios.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"19 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.70034","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144237290","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

Passive Target Motion Analysis With Own-Ship Location Uncertainty in the Presence of Non-Gaussian Sensor Noise 非高斯传感器噪声存在下具有自船位置不确定性的被动目标运动分析

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2025-06-05 DOI: 10.1049/rsn2.70043

Rohit Kumar Singh, Shreya Das, Shovan Bhaumik

{"title":"Passive Target Motion Analysis With Own-Ship Location Uncertainty in the Presence of Non-Gaussian Sensor Noise","authors":"Rohit Kumar Singh, Shreya Das, Shovan Bhaumik","doi":"10.1049/rsn2.70043","DOIUrl":"https://doi.org/10.1049/rsn2.70043","url":null,"abstract":"Passive target motion analysis (TMA) is traditionally performed using angle-only measurements, which requires the own-ship to execute a manoeuvre to make the tracking system observable. These manoeuvres are burdensome for the naval community. In contrast, this work explores underwater TMA by incorporating time delay and Doppler frequency measurements along with angle data, eliminating the need for own-ship manoeuvre and improving estimation accuracy. Measurement noises are assumed to follow a non-Gaussian distribution, and maximum correntropy (MC)-based Bayesian filtering framework is adopted to solve the problem. Furthermore, the own-ship's position is inherently uncertain due to navigation errors, and this work addresses the uncertainty by modifying the measurement noise covariance matrix within the estimation framework. Simulation results demonstrate that the proposed methodology achieves improved tracking performance in terms of root mean square error (RMSE) and <math>\u0000 <semantics>\u0000 <mrow>\u0000 <mi>%</mi>\u0000 </mrow>\u0000 <annotation> $%$</annotation>\u0000 </semantics></math> track loss compared to existing state-of-the-art MC Kalman filtering approaches.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"19 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.70043","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144220000","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-Area Controllable Suppression Jamming Method Against SAR Based on Two-Dimensional Phase Mismatch 基于二维相位失配的SAR多区域可控抑制干扰方法

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2025-06-05 DOI: 10.1049/rsn2.70040

Guangyuan Li, GuiKun Liu, Zhenyang Xu, Haoming Xu, Zhengshuai Li, Peng Wang, Yueyang Zhang, Liang Li

{"title":"Multi-Area Controllable Suppression Jamming Method Against SAR Based on Two-Dimensional Phase Mismatch","authors":"Guangyuan Li, GuiKun Liu, Zhenyang Xu, Haoming Xu, Zhengshuai Li, Peng Wang, Yueyang Zhang, Liang Li","doi":"10.1049/rsn2.70040","DOIUrl":"https://doi.org/10.1049/rsn2.70040","url":null,"abstract":"In the imaging process of SAR, the secondary phase mismatch can cause image defocusing. In this paper, a suppression jamming method against SAR based on two-dimensional (2D) phase mismatch is proposed through a designed jammer system. By extracting and resampling the intercepted radar signal through the designed jammer, the bandwidth of the linear frequency modulation (LFM) signal can be changed, which causes defocusing in the range dimension after matching filtering. Azimuth phase mismatch is achieved through velocity mismatch, which leads to azimuth defocusing after azimuth matching filtering. Efficient coverage of multiple dispersed important regions can be achieved by adjusting the parameters of jamming targets reasonably, such as modulation bandwidth, azimuth velocity, jamming positions and jamming power. Theoretical analysis is conducted on the implementation of the algorithm and its 2-D controllability in terms of jamming location and jamming area, as well as the required jamming power. The correctness of the theoretical model is verified by simulation results of spaceborne SAR. This method is quite simple to implement and can achieve efficient coverage of multiple dispersed targets, providing a basis for the implementation and application of SAR jamming in active radar responders.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"19 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.70040","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144220001","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