Iet Radar Sonar and Navigation最新文献_第8页

Radar active oppressive interference suppression based on generative adversarial network 基于生成式对抗网络的雷达主动压迫性干扰抑制

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2024-03-19 DOI: 10.1049/rsn2.12556

Yongzhi Yu, Yu You, Ping Wang, Limin Guo

引用次数: 0

Sequence optimisation for compressed sensing CDMA MIMO radar via mutual coherence minimisation 通过相互相干最小化实现压缩传感 CDMA MIMO 雷达的序列优化

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2024-03-15 DOI: 10.1049/rsn2.12555

Saravanan Nagesh, María A. González-Huici, Andreas Bathelt, Miguel Heredia Conde, Joachim Ender

{"title":"Sequence optimisation for compressed sensing CDMA MIMO radar via mutual coherence minimisation","authors":"Saravanan Nagesh, María A. González-Huici, Andreas Bathelt, Miguel Heredia Conde, Joachim Ender","doi":"10.1049/rsn2.12555","DOIUrl":"10.1049/rsn2.12555","url":null,"abstract":"The authors focus on the waveform design for Code Division Multiple Access Multiple Input Multiple Output (CDMA-MIMO) radar systems, with a specific emphasis on Compressed Sensing (CS) based target estimation. The selection of an appropriate waveform is a critical determinant in the effectiveness of estimation algorithms. Recent studies show the possibilities of optimising waveform parameters to improve the efficiency of CS based estimation. The authors introduce an optimisation framework designed to modify the phase components of code sequences used in CS-CDMA MIMO radar systems. The objective of this optimisation is to minimise the l∞ norm of off-diagonal elements within the Gramian matrix of the underlying sensing matrix, focusing on phase modulation of the waveform. Solving this optimisation problem requires dealing with a non-convex, combinatorial and non-linear scenario. Simulated Annealing is employed as the solution technique. To assess the effectiveness of the proposed optimisation approach, the resulting optimised sequence is rigorously compared against well-established Hadamard and Gold sequences across various performance metrics. These metrics encompass correlation properties, ambiguity function behaviour, recovery percentage and recovery error. The study demonstrates that the generated poly-phase sequences outperform existing sequences, leading to significantly improved target reconstruction results in the context of CDMA-MIMO radar systems with CS-based estimation.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"18 7","pages":"1178-1192"},"PeriodicalIF":1.4,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.12555","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140155481","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 short wave radar beam sharpening method based on generalised oblique projection operator with flexible parameter 基于参数灵活的广义斜投影算子的短波雷达波束锐化方法

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2024-03-12 DOI: 10.1049/rsn2.12551

Xingpeng Mao, Ju Li, Heyue Huang, Yiming Wang, Junjie Lang

{"title":"A short wave radar beam sharpening method based on generalised oblique projection operator with flexible parameter","authors":"Xingpeng Mao, Ju Li, Heyue Huang, Yiming Wang, Junjie Lang","doi":"10.1049/rsn2.12551","DOIUrl":"10.1049/rsn2.12551","url":null,"abstract":"Beamforming is an effective way of resolving target direction and anti-jamming in short wave (SW) radar systems. In conventional beamforming (CBF) at a certain frequency, to get high resolution, the array aperture should be increased, and this is often not allowed in practical applications. A new narrow beam forming (NBF) method for beam sharpening based on the generalised oblique projection (GOP) filter with a flexible parameter is proposed. This method uses a GOP filter bank to form deep nulls in the undesired azimuth range on the pattern and utilises the logic product process to synthesise the GOP filters’ outputs and thus obtains a narrow beam. Compared to traditional beamforming methods, the result of NBF has the characteristics of narrower beam width and bigger side lobe suppression ratio (SLSR). Especially, a narrower beam can be obtained in the case of a small array aperture, which is valuable for practical applications. Experimental results of the range-Doppler spectrum of short wave radar show that this narrow beam forming method can achieve super resolution of targets within a wide beam and greatly suppress clutter. Therefore, NBF can improve the azimuth resolution and achieve interference suppression in a conventional beam.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"18 7","pages":"1132-1144"},"PeriodicalIF":1.4,"publicationDate":"2024-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.12551","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140125577","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

Correction of velocity estimation bias caused by phase-shift beamforming in acoustic Doppler velocity logs 声学多普勒速度记录中相移波束成形引起的速度估计偏差的校正

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2024-03-12 DOI: 10.1049/rsn2.12550

Kuankuan Jia, Weijie Xu, Li Ma

{"title":"Correction of velocity estimation bias caused by phase-shift beamforming in acoustic Doppler velocity logs","authors":"Kuankuan Jia, Weijie Xu, Li Ma","doi":"10.1049/rsn2.12550","DOIUrl":"10.1049/rsn2.12550","url":null,"abstract":"The performance of Doppler velocity logs (DVLs) in terms of velocity estimate error is directly linked to the geometry of the beam and the pulse transmitted. Beyond a specific transmitted bandwidth, the phase-shift beamformer can introduce significant errors in velocity estimation. To delineate the operating mechanism of phase-shift errors within a phased array of acoustic DVLs, the correlation between bottom echo and velocity distribution, in conjunction with the power-weighted function, was initially examined predicated on spectral estimation theory. Subsequently, numerical and analytical models of the Gaussian-shaped Doppler spectrum were formulated. The models are employed to evaluate the velocity estimation inaccuracies attributed to phase shifts in extant DVLs, and the comparative results with field experiments corroborate the model's efficacy in forecasting errors. The theoretical findings evaluate the performance limitations of the current phased array transducer design and provide insights for developing new designs. Pool experimental results show that this design effectively reduces the velocity estimation error caused by phase shift under static conditions and in the presence of Doppler frequencies to a level of almost complete elimination of the error compared to conventional configurations.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"18 7","pages":"1116-1131"},"PeriodicalIF":1.4,"publicationDate":"2024-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.12550","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140125953","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

Few-shot learning for satellite characterisation from synthetic inverse synthetic aperture radar images 利用合成反合成孔径雷达图像进行卫星特征描述的少量学习

IF 1.7 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2024-03-07 DOI: 10.1049/rsn2.12516

Friso G. Heslinga, Faruk Uysal, Sabina B. van Rooij, Sven Berberich, Miguel Caro Cuenca

{"title":"Few-shot learning for satellite characterisation from synthetic inverse synthetic aperture radar images","authors":"Friso G. Heslinga, Faruk Uysal, Sabina B. van Rooij, Sven Berberich, Miguel Caro Cuenca","doi":"10.1049/rsn2.12516","DOIUrl":"10.1049/rsn2.12516","url":null,"abstract":"Space situational awareness systems primarily focus on detecting and tracking space objects, providing crucial positional data. However, understanding the complex space domain requires characterising satellites, often involving estimation of bus and solar panel sizes. While inverse synthetic aperture radar allows satellite visualisation, developing deep learning models for substructure segmentation in inverse synthetic aperture radar images is challenging due to the high costs and hardware requirements. The authors present a framework addressing the scarcity of inverse synthetic aperture radar data through synthetic training data. The authors approach utilises a few-shot domain adaptation technique, leveraging thousands of rapidly simulated low-fidelity inverse synthetic aperture radar images and a small set of inverse synthetic aperture radar images from the target domain. The authors validate their framework by simulating a real-case scenario, fine-tuning a deep learning-based segmentation model using four inverse synthetic aperture radar images generated through the backprojection algorithm from simulated raw radar data (simulated at the analogue-to-digital converter level) as the target domain. The authors results demonstrate the effectiveness of the proposed framework, significantly improving inverse synthetic aperture radar image segmentation across diverse domains. This enhancement enables accurate characterisation of satellite bus and solar panel sizes as well as their orientation, even when the images are sourced from different domains.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"18 4","pages":"649-656"},"PeriodicalIF":1.7,"publicationDate":"2024-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.12516","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140075465","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

Deep learning-based space debris detection for space situational awareness: A feasibility study applied to the radar processing 基于深度学习的空间碎片探测，用于空间态势感知：应用于雷达处理的可行性研究

IF 1.7 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2024-03-06 DOI: 10.1049/rsn2.12547

Federica Massimi, Pasquale Ferrara, Roberto Petrucci, Francesco Benedetto

{"title":"Deep learning-based space debris detection for space situational awareness: A feasibility study applied to the radar processing","authors":"Federica Massimi, Pasquale Ferrara, Roberto Petrucci, Francesco Benedetto","doi":"10.1049/rsn2.12547","DOIUrl":"10.1049/rsn2.12547","url":null,"abstract":"The increasing number of space objects (SO), debris, and constellation of satellites in Low Earth Orbit poses a significant threat to the sustainability and safety of space operations, which must be carefully and efficiently addressed to avoid mutual collisions. The space situational awareness is currently addressed by an ensemble of radar and radio-telescopes that detect and track SO. However, a large part of space debris is composed of very small and tiny metallic objects, very difficult to detect. The authors demonstrate the benefits of using deep learning (DL) architectures for small space object detection by radar observations. TIRA radio telescope has been simulated to generate range-Doppler maps, then used as inputs for object detection exploiting You-Only-Look-Once (YOLO) frameworks. The results demonstrate that the object detection by using YOLO algorithms outperform conventional target detection approaches, thus indicating the potential benefits of using DL techniques for space surveillance applications.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"18 4","pages":"635-648"},"PeriodicalIF":1.7,"publicationDate":"2024-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.12547","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140056707","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

Enhancing model-based acoustic localisation using quantum annealing 利用量子退火增强基于模型的声学定位

IF 1.7 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2024-03-01 DOI: 10.1049/rsn2.12534

Robert Wezeman, Tariq Bontekoe, Sander von Benda-Beckmann, Frank Phillipson

{"title":"Enhancing model-based acoustic localisation using quantum annealing","authors":"Robert Wezeman, Tariq Bontekoe, Sander von Benda-Beckmann, Frank Phillipson","doi":"10.1049/rsn2.12534","DOIUrl":"10.1049/rsn2.12534","url":null,"abstract":"Model-based acoustic localisation estimates the locations of underwater objects by comparing sensor measurements with model predictions. To obtain high quality predictions, propagation models need to be run for a large set of environmental parameters. However, real-time Model-based acoustic localisation estimations using onboard computational resources are often limited. To address this, the authors propose a Quantum annealing (QA) algorithm for enhancing underwater acoustic localisation. A restricted Boltzmann machine (RBM) is trained to predict the probability distribution of underwater targets. Advantage of this approach is that part of the computation is moved to offline-training. Moreover, the probability distribution can potentially be sampled efficiently using a quantum annealer possibly enabling real-time accurate target estimations being made onboard.The RBM is applied to a simplified multi-sensor horizontal localisation problem where a constant and linear acoustic propagation is assumed. Using simulated annealing the authors show that the RBM is able to learn probability distributions that resemble target locations. Preliminary results show that training and sampling the RBM can be done using QA hardware by D-Wave Systems.However, there remains room for improvement especially in ranging predictions. Further research into possible benefits of QA RBMs is needed to provide theoretical and practical results of a speed-up.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"18 6","pages":"876-890"},"PeriodicalIF":1.7,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.12534","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140017687","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

Interrupted-sampling repeater jamming suppression based on block sparse recovery and random phase encoding 基于块稀疏恢复和随机相位编码的中断采样中继器干扰抑制

IF 1.7 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2024-02-28 DOI: 10.1049/rsn2.12549

Yunhao Ji, Shan Wei, Yaobing Lu, Zigeng Li

{"title":"Interrupted-sampling repeater jamming suppression based on block sparse recovery and random phase encoding","authors":"Yunhao Ji, Shan Wei, Yaobing Lu, Zigeng Li","doi":"10.1049/rsn2.12549","DOIUrl":"https://doi.org/10.1049/rsn2.12549","url":null,"abstract":"The interrupted-sampling repeater jamming (ISRJ) is an effective kind of intro-pulse coherent jamming based on digital radio frequency memory. It appears as a group of false targets that are difficult to distinguish on the range profile after pulse compression, which seriously affects the target identification and tracking. According to the coherence between ISRJ and real target echo and the waveform discontinuity caused by intermittent interception, a new method is proposed for ISRJ parameter estimation and jamming suppression based on block sparse recovery. To ensure the effectiveness of sparse recovery, the transmitted signal is divided into several random phase-encoded sub-pulses. Firstly, the pulse-number and time-delay of the received echo are estimated by block orthogonal matching pursuit. Then, the jamming slices are identified based on the sampling duty ratio and the Doppler frequency is estimated through matching. Finally, according to the parameter estimation results, the jamming slices are reconstructed to eliminate ISRJ. Numerical experiments in two typical scenarios have shown that this method can effectively suppress ISRJ. Especially in the scenario of high jamming duty ratio, this method exhibits good anti-jamming performance.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"58 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140003791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Airborne forward-looking radar imaging approach via modified propagator method in planar phased array 平面相控阵中通过修正传播者方法进行机载前视雷达成像的方法

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2024-02-27 DOI: 10.1049/rsn2.12552

Lannuo Yin, Yong Wang

引用次数: 0

Sparse vegetation height estimation based on non-local sample selection with generalised inner product 基于广义内积的非局部样本选择的稀疏植被高度估算

IF 1.4 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2024-02-20 DOI: 10.1049/rsn2.12548

Jing Xu, Long Cheng, Chao Xue, Zhiyong Suo

{"title":"Sparse vegetation height estimation based on non-local sample selection with generalised inner product","authors":"Jing Xu, Long Cheng, Chao Xue, Zhiyong Suo","doi":"10.1049/rsn2.12548","DOIUrl":"10.1049/rsn2.12548","url":null,"abstract":"With the assumption of densely distributed vegetation in PolInSAR processing, the height parameters can be inversed by the conventional random volume over ground (RVoG) method. During the procedure of RVoG, the samples used to estimate the PolInSAR coherence are selected directly from the neighbouring areas. However, for sparsely distributed vegetation, the scattering statistics are different from those of densely distributed vegetation. Therefore, the inversion performance will be deteriorated if the samples are selected directly in the neighbouring areas. A new phase-based method is proposed to select samples, whose positions represent the volume scattering pixels, for sparsely distributed vegetation height inversion. By analysing the scattering characteristics of sparsely distributed vegetation, the processing data vector is formulated based on the amplitude-normalised interferograms. With the PolSAR classification, the generalised inner product (GIP) is iteratively used to select the non-local samples based on the formulated phase data vectors, which are utilised for sparsely distributed vegetation height inversion. For the selected sample sets, the vegetation distribution can be approximately regarded as “dense distribution”, and then the vegetation height parameters can be inversed by RVoG method. Compared to the height inversion performance based on different sample selection methods, the effectiveness of the proposed method is validated by the PolSARPro simulated data and the real airborne L-band PolInSAR data.","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"18 7","pages":"1106-1115"},"PeriodicalIF":1.4,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.12548","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139910269","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