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

An Interrupted Sampling Repeater Jamming Suppression Algorithm Combines Grey Entropy With Multidimensional Filtering 一种结合灰熵和多维滤波的中断采样中继器干扰抑制算法

IF 1.5 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2025-07-17 DOI: 10.1049/rsn2.70055

Jun Luo, Hui Chen, Weijian Liu, Binbin Li, Pei Tian, Haoyang Wang

{"title":"An Interrupted Sampling Repeater Jamming Suppression Algorithm Combines Grey Entropy With Multidimensional Filtering","authors":"Jun Luo, Hui Chen, Weijian Liu, Binbin Li, Pei Tian, Haoyang Wang","doi":"10.1049/rsn2.70055","DOIUrl":"10.1049/rsn2.70055","url":null,"abstract":"Interrupted sampling repeater jamming (ISRJ), as a typical intra-pulse coherent interference, seriously endangers the performance of radar. To effectively suppress ISRJ, the paper proposes an ISRJ suppression algorithm combines grey entropy with multidimensional filtering. Firstly, the grey entropy algorithm from image segmentation is introduced to extract interference-free segments enhancing the accuracy of intrapulse interference-free segments extraction. Secondly, a fractional-order domain filter is constructed using the interference-free segments to conduct the primary suppression of interference in the fractional-order domain. Then, a time-frequency filter is constructed based on dechirped interference-free segments to suppress the interference again in the frequency domain. Finally, leveraging the linear relationship between frequency and distance of target in dechirped radar received signals, and the pulse compression results after interference suppression are obtained. Simulation experiments validate the effectiveness and robustness of the proposed algorithm. Compared with the same type of algorithms, the proposed algorithm demonstrates improved interference suppression performance under low signal-to-noise ratio (SNR) or high jamming-to-signal ratio (JSR) conditions.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"19 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.70055","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144647707","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

Tolerance Analysis and Robustness of Phase Conjugating Cross-Eye Jamming 相位共轭对眼干扰的容差分析与鲁棒性

IF 1.5 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2025-07-11 DOI: 10.1049/rsn2.70050

Vittorio Calligaris, Pierfrancesco Lombardo

引用次数: 0

Three-Element Non-Uniform Linear Array Design Strategy for Mobile Orthogonal Frequency Division Multiplexing Radar Using Supervised Displaced Phase Centre Antenna 基于监督位移相位中心天线的移动正交频分复用雷达三元非均匀线阵设计策略

IF 1.5 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2025-07-11 DOI: 10.1049/rsn2.70049

Andrea Quirini, Fabiola Colone, Pierfrancesco Lombardo

{"title":"Three-Element Non-Uniform Linear Array Design Strategy for Mobile Orthogonal Frequency Division Multiplexing Radar Using Supervised Displaced Phase Centre Antenna","authors":"Andrea Quirini, Fabiola Colone, Pierfrancesco Lombardo","doi":"10.1049/rsn2.70049","DOIUrl":"10.1049/rsn2.70049","url":null,"abstract":"In this paper, we propose a three-element nonuniform linear array (NULA) design strategy for an OFDM-based radar system installed on a moving platform. The need to suppress Doppler-spread clutter induced by platform motion requires the use of space–time cancellation approaches, such as displaced phase centre antenna (DPCA) or space–time adaptive processing (STAP). In particular, the recently introduced thresholded-DPCA reciprocal filter (T-DPCA-RF) was demonstrated to be especially effective in detecting moving targets within a stationary scene using OFDM waveforms on transmit. This is mostly due to the T-DPCA-RF capability to process the received signals in batches of arbitrary length, independent of the OFDM framing structure. The three-element receiving NULA design strategy for multi-channel DPCA processing proposed in this work builds upon this feature of the T-DPCA-RF. Although previous research studies have demonstrated the advantages of NULA in multi-channel DPCA, the antenna positions were chosen based on a heuristic criterion. The NULA design strategy proposed in this paper provides guidance for antenna positioning by enforcing a constraint on the DPCA filter response that prevents blind velocity effects within a specified target velocity range of interest. The effectiveness of the multi-channel DPCA detector using the NULA designed with our strategy is validated through experimental data, extending the scope of previous studies in this area.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"19 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.70049","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144606687","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 Networked Radar Beam Allocation Method for Multi-Target Tracking in Multi-Jammer Scenario 多干扰条件下多目标跟踪的网络化雷达波束分配方法

IF 1.5 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2025-07-10 DOI: 10.1049/rsn2.70039

Lei Zhang, Linghua Su, Ying Luo, Jianfei Ren, Qun Zhang

{"title":"A Networked Radar Beam Allocation Method for Multi-Target Tracking in Multi-Jammer Scenario","authors":"Lei Zhang, Linghua Su, Ying Luo, Jianfei Ren, Qun Zhang","doi":"10.1049/rsn2.70039","DOIUrl":"10.1049/rsn2.70039","url":null,"abstract":"This paper focuses on the problem of mainlobe interference suppression in radar networks tracking multi-target scenarios with multiple jammers. A beam allocation method is proposed based on stepwise suppression of mainlobe and sidelobe interference. Although a single radar can effectively suppress sidelobe interference, mainlobe interference necessitates collaborative countermeasures among multiple radar nodes, indicating that the beam allocation method significantly impacts interference suppression performance. We derive the mathematical relationship between target tracking accuracy and beam allocation strategy to address this. Subsequently, we establish a beam allocation model, with the beam allocation matrix as the optimisation variable and target tracking accuracy as the optimisation objective. One intelligent algorithm is employed to solve this model. Simulation results demonstrate that the proposed method optimises the allocation of anti-jamming resources in the radar network, leading to efficient interference suppression and stable target tracking.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"19 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.70039","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144598748","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

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 1.5 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":"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":1.5,"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 1.5 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":"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":1.5,"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 1.5 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":"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":1.5,"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 1.5 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":"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":1.5,"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 1.5 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":"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":1.5,"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 1.5 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