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

IF 1.5 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2026-04-16

引用次数: 0

Range-Free Localisation for Monostatic Passive Radar Employing Multi-Narrowband Illuminators 基于多窄带光源的单站无源雷达无距离定位

IF 1.5 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2026-04-10 DOI: 10.1049/rsn2.70139

Chenggeng Zhao, Chuanbin Zang, Lianpeng Li, Heyue Huang, Xingpeng Mao

{"title":"Range-Free Localisation for Monostatic Passive Radar Employing Multi-Narrowband Illuminators","authors":"Chenggeng Zhao, Chuanbin Zang, Lianpeng Li, Heyue Huang, Xingpeng Mao","doi":"10.1049/rsn2.70139","DOIUrl":"https://doi.org/10.1049/rsn2.70139","url":null,"abstract":"Passive localisation with narrowband external illuminators is attractive for low-cost and flexible deployment, yet accurate positioning becomes difficult when time-delay (range) information is unreliable or unavailable. To address this limitation and leverage signals from multi-illuminator, this paper investigates range-free 3-D localisation for a monostatic passive radar. Doppler and DOA measurements (and, when available, Doppler-rate) are incorporated into a maximum-likelihood framework for joint position–velocity estimation. To mitigate the resulting high-dimensional optimisation, we propose an iteration based velocity estimation that expresses the velocity estimate as a function of a candidate position, reducing the original 6-D problem to a 3-D position search. A Gauss–Newton (GN) guided dimension-reduced Particle Swarm Optimisation (PSO) is then employed to accelerate convergence by steering elite particles along local GN directions while preserving global exploration. Simulation and measured-data results demonstrate that the proposed method achieves close to the Cramér-Rao Lower Bound (CRLB) accuracy with significantly improved efficiency, enabling stable localisation with fewer observations in both single-illuminator and multi-illuminator configurations.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"20 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2026-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.70139","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147708139","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

Multiple-Model Trajectory PMBM Filter for Tracking Manoeuvring Extended Targets 机动扩展目标跟踪的多模型弹道PMBM滤波器

IF 1.5 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2026-04-06 DOI: 10.1049/rsn2.70135

Ibrahim Salim, Nermeen Okasha, Wagdy Anis

{"title":"Multiple-Model Trajectory PMBM Filter for Tracking Manoeuvring Extended Targets","authors":"Ibrahim Salim, Nermeen Okasha, Wagdy Anis","doi":"10.1049/rsn2.70135","DOIUrl":"https://doi.org/10.1049/rsn2.70135","url":null,"abstract":"This paper addresses the challenging problem of tracking multiple manoeuvring extended targets in cluttered environments by introducing the Multiple Model Extended Target Trajectory Poisson Multi-Bernoulli Mixture (MM-ET-TPMBM) filter. The proposed framework integrates the Jump Markov System (JMS) for motion mode switching with the trajectory random finite set (RFS) formalism, enabling simultaneous estimation of target trajectories, kinematic states, spatial extents and dynamic models within a unified Bayesian recursion. We derive closed-form prediction and update equations and present a computationally efficient implementation using gamma Gaussian inverse Wishart (GGIW) distributions for extended target representation. Comprehensive Monte Carlo simulations demonstrate that the MM-ET-TPMBM filter significantly outperforms existing methods, reducing the generalised optimal sub-pattern assignment (GOSPA) error by up to 53% and cardinality error by up to 71% while maintaining robust trajectory continuity and accurate model identification. The filter's principled approach and computational tractability make it suitable for demanding applications in autonomous navigation, surveillance and defence systems.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"20 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2026-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.70135","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147708041","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

Range Ambiguous Clutter Rank Estimation in Airborne Element-Pulse Coding-Multiple-Input Multiple-Output Radar 机载元件-脉冲编码-多输入多输出雷达距离模糊杂波秩估计

IF 1.5 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2026-04-04 DOI: 10.1049/rsn2.70138

Di Song, Chunyu Song, Yue Zhao, Zhiyong Cheng, Shengyao Chen, Feng Xi

{"title":"Range Ambiguous Clutter Rank Estimation in Airborne Element-Pulse Coding-Multiple-Input Multiple-Output Radar","authors":"Di Song, Chunyu Song, Yue Zhao, Zhiyong Cheng, Shengyao Chen, Feng Xi","doi":"10.1049/rsn2.70138","DOIUrl":"https://doi.org/10.1049/rsn2.70138","url":null,"abstract":"Space-time adaptive processing (STAP) with element-pulse coding (EPC)-multiple-input multiple-output (MIMO) radars is capable of suppressing range ambiguous clutter in airborne radar fields. However, clutter rank has not been investigated in EPC-MIMO radars, which is of great significance for the design of STAP algorithms, such as reduced-rank and reduced dimension, etc. This paper studies the clutter rank estimation thoroughly. Firstly, a subspace transformation matrix including the entire clutter subspace is constructed, which is related to the spacing ratio of transmit and receive elements, the number of Doppler ambiguity and the number of range ambiguity. Secondly, the clutter rank is accurately estimated according to the subspace transformation matrix for any element spacing ratio, number of Doppler ambiguity, and number of range ambiguity. Moreover, based on the estimated clutter rank, the maximum resolvable number of range ambiguity is derived. Ultimately, the impact of channel weighting on clutter rank is analysed. Numerical results verify the accuracy of the estimated clutter rank and maximum resolvable number of range ambiguity.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"20 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2026-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.70138","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147707999","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

IF 1.5 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2026-04-02

引用次数: 0

IF 1.5 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2026-04-02

引用次数: 0

IF 1.5 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2026-04-02

引用次数: 0

MIMO Radar Detection Algorithms With Location Capabilities for Heterogeneous Environments 具有异构环境定位能力的MIMO雷达检测算法

IF 1.5 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2026-04-01 DOI: 10.1049/rsn2.70127

Tianqi Wang, Chaoran Yin, Da Xu, Chengpeng Hao, Danilo Orlando, Giuseppe Ricci

{"title":"MIMO Radar Detection Algorithms With Location Capabilities for Heterogeneous Environments","authors":"Tianqi Wang, Chaoran Yin, Da Xu, Chengpeng Hao, Danilo Orlando, Giuseppe Ricci","doi":"10.1049/rsn2.70127","DOIUrl":"10.1049/rsn2.70127","url":null,"abstract":"In this paper, we address the problem of joint adaptive detection and range-Doppler estimation for MIMO radar systems in heterogeneous environments. Specifically, we extend the Two-Step Generalised Likelihood Ratio Test Detector designed for homogeneous Gaussian background to work in compound-Gaussian scenarios. To this end, we replace the conventional sample covariance matrix of the secondary data with the estimators of clutter statistics based on the normalised sample covariance matrix and the recursive estimate. In this context, three detectors are proposed that can inherently provide estimates of target position in the delay-Doppler domain. Numerical examples demonstrate that the proposed detectors significantly outperform the homogeneous counterparts in heterogeneous environments whilst maintaining satisfying performance in homogeneous environments. Remarkably, the analysis of the false alarm rate reveals that the proposed detectors are insensitive to changes in the scaling factor and/or covariance structure of the background.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"20 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.70127","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147707820","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

Multispectrally Constrained Waveform Design for MIMO Radar Direction Finding MIMO雷达测向的多频谱约束波形设计

IF 1.5 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2026-03-31 DOI: 10.1049/rsn2.70104

Da Li, Xingyu Wang, Xiangyu Wu, Cheng Zhou, Yuxue Sun

{"title":"Multispectrally Constrained Waveform Design for MIMO Radar Direction Finding","authors":"Da Li, Xingyu Wang, Xiangyu Wu, Cheng Zhou, Yuxue Sun","doi":"10.1049/rsn2.70104","DOIUrl":"https://doi.org/10.1049/rsn2.70104","url":null,"abstract":"This paper focuses on the design of transmit waveforms for multiple-input-multiple-output (MIMO) radar systems in a spectrally crowded environment. The purpose is to improve the angle estimation performance of MIMO radar by minimising the asymptotic estimation bound of multiple signal classification (MUSIC) algorithm. To enhance the spectrum coexistence capabilities of radar system, a multispectral constraint is imposed on the sought waveforms. Moreover, a peak-to-average-power ratio (PAPR) constraint is enforced on the radar waveform to improve the practicability. To tackle the encountered nonconvex optimisation problem, a cyclic algorithm based on optimal covariance matrix matching (OCMM) and alternating direction method of multipliers (ADMM) are developed. The proposed algorithm first transforms the established optimisation problem into an OCMM optimisation problem with a more tractable structure, followed by the adoption of the ADMM method to obtain high-quality solution. Numerical examples are provided to show that the proposed algorithm can efficiently design the transmit waveforms, further improving the target localisation accuracy and enhancing the spectrum compatibility of the radar system.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"20 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2026-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.70104","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147708418","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

Radar Jamming Recognition Method Based on Cross-Modal Multilevel Feature Fusion 基于跨模态多水平特征融合的雷达干扰识别方法

IF 1.5 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2026-03-29 DOI: 10.1049/rsn2.70111

Mingyu Wu, Mingjun Huang, Hao Wu, Kai Xie

{"title":"Radar Jamming Recognition Method Based on Cross-Modal Multilevel Feature Fusion","authors":"Mingyu Wu, Mingjun Huang, Hao Wu, Kai Xie","doi":"10.1049/rsn2.70111","DOIUrl":"https://doi.org/10.1049/rsn2.70111","url":null,"abstract":"Effective radar jamming recognition is a critical precondition for enhancing radar antijamming capabilities. Although deep neural networks have been widely adopted for this task, existing methods mainly rely on time-frequency (TF) maps, overlooking inherent signal features such as amplitude and phase. This incomplete representation leads to a significant decline in recognition accuracy under low jamming-to-noise ratio (JNR) and complex interference conditions. To address these challenges, we propose a cross-modal multilevel feature fusion network (CM-FF), which innovatively integrates one-dimensional signal tensors, spectrum and two-dimensional TF images to compensate for information loss in single-modal approaches, significantly enhancing feature separability and identification accuracy. A multilevel feature extraction module is proposed to extract multiscale features from both one-dimensional (1D) tensors and two-dimensional (2D) images. Besides, a multimodal feature fusion module is proposed to assign weights to different features adaptively. Experimental results show that our proposed method achieves a recognition accuracy of 98.4%, representing a maximum improvement of 14.6% over existing methods. Even under extremely low JNR conditions of −10 dB, our network maintains an accuracy rate of 80.75%. Furthermore, the network has fewer than 1 million parameters, demonstrating its lightweight design and low resource requirements.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"20 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2026-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.70111","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147666327","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