{"title":"Sparse Bayesian learning using hierarchical synthesis prior for STAP","authors":"Junxiang Cao, Tong Wang, Weichen Cui","doi":"10.1049/rsn2.70001","DOIUrl":"https://doi.org/10.1049/rsn2.70001","url":null,"abstract":"<p>Space–time adaptive processing (STAP) can effectively detect moving targets in the background of ground clutter, but the performance will drop sharply when the training samples are limited. In this paper, to improve the clutter suppression performance when the training samples are limited, the authors propose a novel STAP algorithm based on sparse Bayesian learning (SBL) using a hierarchical synthesis prior. Firstly, we construct a novel three-level hierarchical synthesis prior (HSP) model, which promotes the sparsity more significantly than traditional priors used in SBL. Secondly, in the framework of type-II maximum likelihood approach, a novel iterative update criterion for hyperparameters is derived. Thirdly, in order to reduce the computational burden, the authors design a novel local space–time dictionary to transform the full-dimensional clutter spectrum recovery problem into a local clutter spectrum recovery problem. Numerical results with both simulated and measured data demonstrate the excellent performance and relatively high computational efficiency of the proposed method.</p>","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"19 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.70001","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143497175","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}
Gangyin Sun, Shiwen Chen, Chaopeng Wu, Li Zhang, Haikun Fang
{"title":"Open-DS: An Open-Set Modulation Recognition Method for Low Probability of Interception Radar Emitters Based on Dictionary Similarity","authors":"Gangyin Sun, Shiwen Chen, Chaopeng Wu, Li Zhang, Haikun Fang","doi":"10.1049/rsn2.70007","DOIUrl":"https://doi.org/10.1049/rsn2.70007","url":null,"abstract":"<p>The recognition of radar emitters modulation in an open-set scenario presents a challenging task, particularly when identifying unknown modulation. This paper proposes a dictionary similarity based method for low intercept probability radar signal open-set modulation recognition (OMR), designed to address the unknown modulation in open-set scenarios. First, deep features of the input 1-D signal are extracted, and a random Fourier transform is applied to map the signal into a high-dimensional space, thereby converting the nonlinear feature optimisation problem into a linear optimisation problem. Next, an inter-class discreteness (ICD) module and an intra-class similarity (ICS) module are designed. Based on the Hilbert-Smith independence criterion, the correlation between features is quantified, and the quantitative values of ICD and ICS are used as loss functions to constrain the network's learning process. This approach effectively enhanced the representational power of the class dictionaries and significantly improved the model’s overall performance. Experimental results demonstrate that the proposed strategy successfully extracts high-dimensional feature prototypes, achieving high accuracy in closed-set recognition while effectively performing open-set recognition tasks.</p>","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"19 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.70007","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143481535","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}
{"title":"WaveMic: Speech recognition of Chinese digit numbers from radio signals","authors":"Shengchang Lan, Changhao Yang, Beijia Liu, Juwen Chen","doi":"10.1049/rsn2.70000","DOIUrl":"https://doi.org/10.1049/rsn2.70000","url":null,"abstract":"<p>In recent years, the use of millimetre wave radio signals for speech recognition has rapidly developed. The absence of high-frequency components resulting from the material vibration constraints of fully viewed indoor objects has undermined the recognition accuracy in this field. This paper presents a new solution to the Chinese digits speech recognition problem by reconstructing the high-frequency harmonic and non-harmonic components with the radio signals received by millimetre wave radar sensors. A time–frequency analysis was conducted to convert the phase variations extracted from the radar I/Q signals to spectrograms. An improved threshold strategy was used to enhance the harmonic components on the spectrogram. Subsequently, a CycleGAN-based network was constructed to recover non-harmonic components on the spectrograms. An evaluation experiment was performed with a 77-GHz frequency modulated continuous wave radar sensor to use the induced vibrations of aluminium foils, glass, and anti-static bags to recognise the speeches of standard Chinese digit numbers (0–9). The F1 score in the speech recognition experiment reached 96.6%, with a micro average accuracy exceeding 98.3%. These results show that the proposed method can improve recognition accuracy by generating finer signatures from radio signals.</p>","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"19 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.70000","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143466172","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}
Jun Cao, JiaJun Xiong, Weizhe Xu, Wenxin Qu, Yao Wang, Shuai Liu
{"title":"Broadband signal DOA estimation based on two-sided correlation transformation using array manifold interpolation","authors":"Jun Cao, JiaJun Xiong, Weizhe Xu, Wenxin Qu, Yao Wang, Shuai Liu","doi":"10.1049/rsn2.12669","DOIUrl":"https://doi.org/10.1049/rsn2.12669","url":null,"abstract":"<p>The two-sided correlation transformation (TCT) algorithm is widely used to estimate the direction of arrival (DOA) for broadband signals. However, the traditional TCT algorithm requires DOA pre-estimation, which results in a high computational complexity and poor performance under low signal-to-noise ratio (SNR) conditions. To address these challenges, an improved TCT algorithm based on array manifold interpolation (AMI) is proposed in this paper, which utilised the AMI method to decompose the array manifold matrix and reconstruct the signal covariance matrix. It aims to obtain a DOA-independent focusing transformation matrix, thereby avoiding DOA pre-estimation. The simulation and lake experiment results are compared with the traditional TCT algorithms. It shows that the proposed algorithm can achieve higher DOA estimation accuracy and better angular resolution even in low SNR environments by fully utilising the information within the whole bandwidth of the target while reducing computational complexity.</p>","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"19 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.12669","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143423562","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}
{"title":"Hybrid polarimetry inverse synthetic aperture radar","authors":"Ajeet Kumar, Elisa Giusti, Marco Martorella","doi":"10.1049/rsn2.70004","DOIUrl":"https://doi.org/10.1049/rsn2.70004","url":null,"abstract":"<p>The inverse synthetic aperture radar (ISAR) system exploits the movement of the target to form its high-resolution image. Further, the multi-polarisation acquisition in ISAR collects additional information on the target's scattering properties and surface characteristics that help to enhance the imaging capabilities of ISAR. In this study, we suggest a novel multi-polarisation ISAR configuration based on the circular transmit and linear receive (CTLR) combination, namely CTLR hybrid-pol ISAR, for the application of non-cooperative target detection and imaging. The CTLR hybrid-pol ISAR captures sufficient information about the targets to accurately characterise them, and simultaneously overcomes the drawbacks of full-polarimetry (full-pol) ISAR associated with the transmission of two pulses to obtain a single unit of polarimetric back-scattered information. Validation is performed using real ISAR data of a T-72 tank target, collected under the moving and stationary target acquisition and recognition (MSTAR) programme conducted by the Georgia Tech Research Institute. A comparative analysis based on SPAN, entropy, and polarimetric decomposition is carried out between the full-pol ISAR and CTLR hybrid-pol ISAR information. The results conclude that CTLR hybrid-pol ISAR maintains a similar level of information content compared to full-pol ISAR while overcoming its drawbacks.</p>","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"19 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.70004","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143404664","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}
{"title":"Impact of 3D model simplifications on the determination of numerical accuracy of the radar cross-section in aerial target recognition issues","authors":"Witold Bużantowicz, Marta Walenczykowska","doi":"10.1049/rsn2.70003","DOIUrl":"https://doi.org/10.1049/rsn2.70003","url":null,"abstract":"<p>Method of moments is one of the most useful approaches for radar cross-section (RCS) simulation, allowing, that is, the computation of the scattering of real objects from 3D models. However, it is limited by computer memory and computation time. In this paper, the authors explore the question of the balance between the possible acceptable level of 3D model simplification and the time benefit associated with a decrease in computational overhead due to the reduction of the model geometry complexity. A spatial volume-based RCS characterisation quality index is proposed to help determine the level of simplification to achieve a significant reduction in computation time while maintaining an acceptable level of similarity. The authors present the results of the calculations performed for perfectly conducted sphere 3D models with varying levels of geometry simplification for which a simple analytical solution exists. Furthermore, the results of the computations performed for a generic missile model set are shown. Possible areas of the application of the proposed approach are also considered.</p>","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"19 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.70003","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143362347","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}
{"title":"A pointer scheduling algorithm for radar device-to-device opportunistic communication based on Tabu strategy","authors":"Gang Tian, Zhiwen Pan, Wenge Xing","doi":"10.1049/rsn2.70006","DOIUrl":"https://doi.org/10.1049/rsn2.70006","url":null,"abstract":"<p>Existing integration of radar detection and communication (IDAC) systems are in general based on multi-input multi-output multi-stations or single-base transceiver splitting. However, these methods are challenging to realise IDAC for integrated receive-transmit half-duplex (IRTHD) pulse radars, which are detection-centric and are based on self-transmission and self-reception systems. The majority of recent studies in the field of IDAC for IRTHD pulse radars have focused on utilising time-division approaches to avoid conflicts, thereby also creating competition for radar time resources. In this paper, a pointer scheduling algorithm based on Tabu search (PS-TS) is proposed for IRTHD pulse radars, which solves the challenge of simultaneous efficient detection and communication. Firstly, the study presents a model for radar device-to-device (D2D) opportunistic communication and proposes a framework for pulse interleaving based on pointer scheduling to realise IDAC. Secondly, the PS-TS algorithm employs a Tabu search strategy to maintain high-quality solutions to avoid local optima and introduces a tolerance factor to maximise the communication success rate (CSR) with the minimal time expenditure. Simulation results indicate that the PS-TS algorithm outperforms the genetic algorithm and particle swarm optimisation in terms of robustness, CSR, and computational efficiency, providing real-time scheduling for IDAC systems.</p>","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"19 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.70006","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143111651","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}
Geoffrey Dolinger, Timothy Sharp, Bryan Lavender, Alexander Stringer, Joseph Karch, Adam Bowersox, Justin Metcalf
{"title":"Multi-agent track confirmation utilising reinforcement learning and game theoretics","authors":"Geoffrey Dolinger, Timothy Sharp, Bryan Lavender, Alexander Stringer, Joseph Karch, Adam Bowersox, Justin Metcalf","doi":"10.1049/rsn2.12694","DOIUrl":"https://doi.org/10.1049/rsn2.12694","url":null,"abstract":"<p>This research investigates the problem of track conformation for a search and evade challenge within the context of the radar resource management domain. To analyse how agent collaboration affects the ability of multiple radar agents in confirming an evasive target, a high-fidelity radar simulation was designed. The simulated radar environment implements a realistic noise and clutter distribution and uses a generalised likelihood ratio test to make detections. The challenge is implemented as a limited information game with a highly evasive target attempting to reach one of four objective points before the track is confirmed by collaborative confirmation agents. Multiple Gaussian heuristic methods are compared with a reinforcement learning approach as the action selection agent. Three game theory strategies were also implemented: non-collaborative best response, collaborative best response, and leader-follower consensus. The results explore the effect of false alarms on confirmation performance and the impact of collaborative game theory applied to the agents versus isolated performance.</p>","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"19 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.12694","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143397240","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}
S M Yahea Mahbub, Muhammad Dawood, Ehtesham Shareef
{"title":"Inexpensive SAR testbed for 3D mmWave imaging applications","authors":"S M Yahea Mahbub, Muhammad Dawood, Ehtesham Shareef","doi":"10.1049/rsn2.12686","DOIUrl":"https://doi.org/10.1049/rsn2.12686","url":null,"abstract":"<p>In this paper, the authors investigate and develop a low-cost synthetic aperture radar (SAR) testbed and utilise it to capture and reconstruct high-resolution 3D mmWave SAR images. Despite much attention from both industrial and academic scholars, cost restraints and complexity have hindered the deployment of SAR systems, particularly in the mmWave domain. This paper outlines the major components and systems of the 3D SAR testbed. The authors build a testbed with low-cost, commercially available hardware components and include open-source software that is highly reconfigurable and simple to reproduce. The multiple-input multiple-output (MIMO) radar sensor uses a frequency-modulated continuous wave (FMCW) chirp at the V-band (40–75 GHz) and synthesises a rectilinear two-dimensional planar aperture. The authors presented several reconstructed 3D images imitating real-world scenarios using the testbed. A non-linear sampling technique that has significantly decreased the amount of time required for data acquisition was implemented. In addition, the authors employed multiple image quality metrics to quantify and compare the images produced by the testbed. The testbed can be used to test and validate new techniques and algorithms.</p>","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"19 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.12686","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143362385","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}
George A. J. Price, Daniel Andre, Chris Moate, Peter Yuen, Mark Finnis
{"title":"Modelling real-world effects in near-field SAR collections for compressive sensing","authors":"George A. J. Price, Daniel Andre, Chris Moate, Peter Yuen, Mark Finnis","doi":"10.1049/rsn2.12692","DOIUrl":"https://doi.org/10.1049/rsn2.12692","url":null,"abstract":"<p>The ability to control sidelobes in a SAR image is critical to forming images that are useful for interpretation and exploitation. QinetiQ has developed the RIBI sensing system, which utilises a distributed coherent array of sensors to produce multistatic images. These systems require techniques from outside the traditional radar domain to utilise the theoretical resolution possible in synthesising a coherent aperture from multiple disparate collections. This paper develops previously published work on using compressive sensing techniques to suppress sidelobes in SAR images to develop a higher-fidelity measurement model. Using Cranfield University's GBSAR System a series, experimental measurements are conducted, and image estimation techniques are applied to this real data. It demonstrates an improvement in recovery performance over an isotropic measurement matrix, and discusses areas which require further development.</p>","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"19 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.12692","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143362895","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}