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2024 Vol. 46, No. 8
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2024, 46(8): 3063-3072.
doi: 10.11999/JEIT231273
Abstract:
The Visibility Region (VR) information can be used to reduce the complexity in transmission design of EXtremely Large-scale massive Multiple-Input Multiple-Output (XL-MIMO) systems. Existing theoretical analysis and transmission design are mostly bas...
The Visibility Region (VR) information can be used to reduce the complexity in transmission design of EXtremely Large-scale massive Multiple-Input Multiple-Output (XL-MIMO) systems. Existing theoretical analysis and transmission design are mostly bas...
2024, 46(8): 3073-3093.
doi: 10.11999/JEIT231255
Abstract:
Forward Scatter Radar (FSR) can obtain high level Radar Cross Section (RCS), so it plays an important role in anti-stealth. The Global Navigation Satellite System (GNSS) has the advantage of all-weather coverage throughout the day as a radiation sour...
Forward Scatter Radar (FSR) can obtain high level Radar Cross Section (RCS), so it plays an important role in anti-stealth. The Global Navigation Satellite System (GNSS) has the advantage of all-weather coverage throughout the day as a radiation sour...
2024, 46(8): 3094-3116.
doi: 10.11999/JEIT231222
Abstract:
Time Series Classification(TSC) is one of the most important and challenging tasks in the field of data mining. Deep learning techniques have achieved revolutionary progress in natural language processing and computer vision, and have also demonstrat...
Time Series Classification(TSC) is one of the most important and challenging tasks in the field of data mining. Deep learning techniques have achieved revolutionary progress in natural language processing and computer vision, and have also demonstrat...
2024, 46(8): 3117-3125.
doi: 10.11999/JEIT231324
Abstract:
In order to address the limitations of the joint beamforming method based on channel prior knowledge, which is constrained by multivariate Vehicle-to-Infrastructure (V2I) communication scenes and suffers from large overhead caused by channel estimati...
In order to address the limitations of the joint beamforming method based on channel prior knowledge, which is constrained by multivariate Vehicle-to-Infrastructure (V2I) communication scenes and suffers from large overhead caused by channel estimati...
2024, 46(8): 3126-3135.
doi: 10.11999/JEIT231385
Abstract:
The challenges of scarce communication resources and uneven allocation in multi-user communication networks are investigated in the article with a focus on the Unmanned Aerial Vehicle (UAV)-assisted multi-user downlink communication network using Rat...
The challenges of scarce communication resources and uneven allocation in multi-user communication networks are investigated in the article with a focus on the Unmanned Aerial Vehicle (UAV)-assisted multi-user downlink communication network using Rat...
2024, 46(8): 3136-3145.
doi: 10.11999/JEIT231423
Abstract:
In response to the challenge of ensuring positioning accuracy in environments where the Global Navigation Satellite System (GNSS) is denied, a positioning scheme based on opportunistic New Radio (NR) signals is devised and an Interference Cancellatio...
In response to the challenge of ensuring positioning accuracy in environments where the Global Navigation Satellite System (GNSS) is denied, a positioning scheme based on opportunistic New Radio (NR) signals is devised and an Interference Cancellatio...
2024, 46(8): 3146-3154.
doi: 10.11999/JEIT231240
Abstract:
In the face of large-scale, diverse, and time-evolving data, as well as machine learning tasks in industrial production processes, a Federated Incremental Learning(FIL) and optimization method based on information entropy is proposed in this paper. W...
In the face of large-scale, diverse, and time-evolving data, as well as machine learning tasks in industrial production processes, a Federated Incremental Learning(FIL) and optimization method based on information entropy is proposed in this paper. W...
2024, 46(8): 3155-3164.
doi: 10.11999/JEIT231235
Abstract:
A hybrid active-passive Reconfigurable Intelligent reflecting Surface (RIS) and Artificial Noise (AN) based transmission scheme is proposed for the secret communication of the RIS assisted wireless communication system. Aiming at maximizing the secre...
A hybrid active-passive Reconfigurable Intelligent reflecting Surface (RIS) and Artificial Noise (AN) based transmission scheme is proposed for the secret communication of the RIS assisted wireless communication system. Aiming at maximizing the secre...
2024, 46(8): 3165-3173.
doi: 10.11999/JEIT231291
Abstract:
The study of information dissemination models is an important component of the Internet of Things field, which helps to improve the performance and efficiency of IoT systems, promote the further development of IoT technology. In response to the compl...
The study of information dissemination models is an important component of the Internet of Things field, which helps to improve the performance and efficiency of IoT systems, promote the further development of IoT technology. In response to the compl...
2024, 46(8): 3174-3183.
doi: 10.11999/JEIT231165
Abstract:
To relieve the impact of data heterogeneity problems caused by full overlapping attribute skew between clients in Federated Learning (FL), a local adaptive FL algorithm that incorporates channel personalized normalization is proposed in this paper. S...
To relieve the impact of data heterogeneity problems caused by full overlapping attribute skew between clients in Federated Learning (FL), a local adaptive FL algorithm that incorporates channel personalized normalization is proposed in this paper. S...
2024, 46(8): 3184-3192.
doi: 10.11999/JEIT231232
Abstract:
Narrowband radar is widely used in the field of air defense guidance due to its advantages of low cost and long operating range. With the development of high-speed mobile platforms, traditional target recognition methods based on feature modeling of ...
Narrowband radar is widely used in the field of air defense guidance due to its advantages of low cost and long operating range. With the development of high-speed mobile platforms, traditional target recognition methods based on feature modeling of ...
2024, 46(8): 3193-3201.
doi: 10.11999/JEIT231335
Abstract:
Due to the non-uniform ground clutter in the forward array of airborne weather radar, it is difficult to obtain enough independent and equally distributed samples, which affects the accurate estimation of clutter covariance matrix and wind speed esti...
Due to the non-uniform ground clutter in the forward array of airborne weather radar, it is difficult to obtain enough independent and equally distributed samples, which affects the accurate estimation of clutter covariance matrix and wind speed esti...
2024, 46(8): 3202-3209.
doi: 10.11999/JEIT231367
Abstract:
A sparse Bayesian estimation for spatial Radio Frequency Interference (RFI) of synthetic aperture microwave radiometers is proposed in this paper. Firstly, an interferometry measurement model of the visibility function for synthetic aperture microwav...
A sparse Bayesian estimation for spatial Radio Frequency Interference (RFI) of synthetic aperture microwave radiometers is proposed in this paper. Firstly, an interferometry measurement model of the visibility function for synthetic aperture microwav...
2024, 46(8): 3210-3218.
doi: 10.11999/JEIT231374
Abstract:
Addressing the issues of inadequate performance in constructing Radio Environment Maps (REMs) in complex scenarios due to non-penetrable obstacles for electromagnetic waves, and the arbitrary selection of interpolation neighborhoods imposed by Invers...
Addressing the issues of inadequate performance in constructing Radio Environment Maps (REMs) in complex scenarios due to non-penetrable obstacles for electromagnetic waves, and the arbitrary selection of interpolation neighborhoods imposed by Invers...
2024, 46(8): 3219-3227.
doi: 10.11999/JEIT231376
Abstract:
According to the problem that the maximum likelihood DOA estimation algorithm requires multi-dimensional search, is computationally intensive, and there is a problem in grid estimation, an Off-grid alternating projection maximum likelihood algorithm ...
According to the problem that the maximum likelihood DOA estimation algorithm requires multi-dimensional search, is computationally intensive, and there is a problem in grid estimation, an Off-grid alternating projection maximum likelihood algorithm ...
2024, 46(8): 3228-3237.
doi: 10.11999/JEIT231139
Abstract:
For Semi-Coprime Arrays (SCA), the performance of classical Direction of Arrival (DoA) estimation algorithm degrades under the presence of coherent adjacent sources. To address this problem, a high-precison DoA estimation method for SCA is proposed. ...
For Semi-Coprime Arrays (SCA), the performance of classical Direction of Arrival (DoA) estimation algorithm degrades under the presence of coherent adjacent sources. To address this problem, a high-precison DoA estimation method for SCA is proposed. ...
2024, 46(8): 3238-3245.
doi: 10.11999/JEIT231236
Abstract:
In order to achieve identification of radar emitter unaffected by signal parameters and modulation methods, a method based on Dual Radio Frequency Fingerprint Convolutional Neural Network (Dual RFF-CNN2) and feature fusion is proposed in this paper. ...
In order to achieve identification of radar emitter unaffected by signal parameters and modulation methods, a method based on Dual Radio Frequency Fingerprint Convolutional Neural Network (Dual RFF-CNN2) and feature fusion is proposed in this paper. ...
2024, 46(8): 3246-3255.
doi: 10.11999/JEIT231421
Abstract:
Non-Line-Of-Sight (NLOS) propagation will cause the pseudo-range measurement error of the Global Navigation Satellite System (GNSS) receivers, and eventually lead to a large positioning error, which is especially prominent in complex environments suc...
Non-Line-Of-Sight (NLOS) propagation will cause the pseudo-range measurement error of the Global Navigation Satellite System (GNSS) receivers, and eventually lead to a large positioning error, which is especially prominent in complex environments suc...
2024, 46(8): 3256-3266.
doi: 10.11999/JEIT240142
Abstract:
Unsupervised Continual Learning (UCL) refers to the ability to learn over time while remembering previous patterns without supervision. Although significant progress has been made in this direction, existing works often assume strong prior knowledge ...
Unsupervised Continual Learning (UCL) refers to the ability to learn over time while remembering previous patterns without supervision. Although significant progress has been made in this direction, existing works often assume strong prior knowledge ...
2024, 46(8): 3267-3275.
doi: 10.11999/JEIT231290
Abstract:
In the 3D maneuvering target tracking, unknown prior and coordinate coupling errors can cause model-mode mismatch and state estimation bias. In this paper, the state transition matrices are modified based on the target velocity-orthogonal condition, ...
In the 3D maneuvering target tracking, unknown prior and coordinate coupling errors can cause model-mode mismatch and state estimation bias. In this paper, the state transition matrices are modified based on the target velocity-orthogonal condition, ...
2024, 46(8): 3276-3284.
doi: 10.11999/JEIT231264
Abstract:
There are long-term dependencies, such as trends, seasonality, and periodicity in time series, which may span several months. It is insufficient to apply existing methods in modeling the long-term dependencies of the series explicitly. To address thi...
There are long-term dependencies, such as trends, seasonality, and periodicity in time series, which may span several months. It is insufficient to apply existing methods in modeling the long-term dependencies of the series explicitly. To address thi...
2024, 46(8): 3285-3294.
doi: 10.11999/JEIT231180
Abstract:
To address the problem that the correspondence calculation of non-isometric 3D point cloud shape is easily affected by large-scale distortions, which often leads to corresponding distortions, low accuracy, and poor smoothness, a new algorithm of shap...
To address the problem that the correspondence calculation of non-isometric 3D point cloud shape is easily affected by large-scale distortions, which often leads to corresponding distortions, low accuracy, and poor smoothness, a new algorithm of shap...
2024, 46(8): 3295-3304.
doi: 10.11999/JEIT230945
Abstract:
Considering the trajectory prediction problem of drift buoys, an end-to-end prediction model based on the depth learning framework is proposed in this paper.The hydrodynamic models in different sea areas are quite different, and the calculation of fl...
Considering the trajectory prediction problem of drift buoys, an end-to-end prediction model based on the depth learning framework is proposed in this paper.The hydrodynamic models in different sea areas are quite different, and the calculation of fl...
2024, 46(8): 3305-3313.
doi: 10.11999/JEIT231283
Abstract:
To better leverage complementary image information from infrared and visible light images and generate fused images that align with human perception characteristics, a two-stage training strategy is proposed to obtain a novel infrared-visible image f...
To better leverage complementary image information from infrared and visible light images and generate fused images that align with human perception characteristics, a two-stage training strategy is proposed to obtain a novel infrared-visible image f...
2024, 46(8): 3314-3323.
doi: 10.11999/JEIT231161
Abstract:
Currently, the Contrastive Language-Image Pre-training (CLIP) has shown great potential in zero-shot 3D shape classification. However, there is a large modality gap between 3D shapes and texts, which limits further improvement of classification accur...
Currently, the Contrastive Language-Image Pre-training (CLIP) has shown great potential in zero-shot 3D shape classification. However, there is a large modality gap between 3D shapes and texts, which limits further improvement of classification accur...
2024, 46(8): 3324-3333.
doi: 10.11999/JEIT231170
Abstract:
To comprehensively explore the information content of camouflaged target features, leverage the potential of target detection algorithms, and address issues such as low camouflage target detection accuracy and high false positive rates, a camouflage ...
To comprehensively explore the information content of camouflaged target features, leverage the potential of target detection algorithms, and address issues such as low camouflage target detection accuracy and high false positive rates, a camouflage ...
2024, 46(8): 3334-3342.
doi: 10.11999/JEIT231338
Abstract:
Realizing high accuracy and low computational burden is a serious challenge faced by Convolutional Neural Network (CNN) for real-time semantic segmentation. In this paper, an efficient real-time semantic segmentation Adaptive Attention mechanism Fusi...
Realizing high accuracy and low computational burden is a serious challenge faced by Convolutional Neural Network (CNN) for real-time semantic segmentation. In this paper, an efficient real-time semantic segmentation Adaptive Attention mechanism Fusi...
2024, 46(8): 3343-3352.
doi: 10.11999/JEIT231262
Abstract:
An end-to-end quadruple Super-Resolution Inpainting Generative Adversarial Network (SRIGAN) is proposed in this paper, for low-resolution random occlusion face images. The generative network consists of an encoder, a feature compensation subnetwork, ...
An end-to-end quadruple Super-Resolution Inpainting Generative Adversarial Network (SRIGAN) is proposed in this paper, for low-resolution random occlusion face images. The generative network consists of an encoder, a feature compensation subnetwork, ...
2024, 46(8): 3353-3362.
doi: 10.11999/JEIT231145
Abstract:
Elements such as pulse interference and outlier measurement information usually lead to abnormal heavy-tailed noise, which sharply reduces the performance of the Extended Target Tracking (ETT) estimator based on the Gaussian hypothesis. To address th...
Elements such as pulse interference and outlier measurement information usually lead to abnormal heavy-tailed noise, which sharply reduces the performance of the Extended Target Tracking (ETT) estimator based on the Gaussian hypothesis. To address th...
2024, 46(8): 3363-3371.
doi: 10.11999/JEIT231267
Abstract:
The use of semantic segmentation technology to extract high-resolution remote sensing image object segmentation has important application prospects. With the rapid development of multi-sensor technology, the good complementary advantages between mult...
The use of semantic segmentation technology to extract high-resolution remote sensing image object segmentation has important application prospects. With the rapid development of multi-sensor technology, the good complementary advantages between mult...
2024, 46(8): 3372-3381.
doi: 10.11999/JEIT231274
Abstract:
Deep learning methods have gained popularity in multimodal sentiment analysis due to their impressive representation and fusion capabilities in recent years. Existing studies often analyze the emotions of individuals using multimodal information such...
Deep learning methods have gained popularity in multimodal sentiment analysis due to their impressive representation and fusion capabilities in recent years. Existing studies often analyze the emotions of individuals using multimodal information such...
2024, 46(8): 3382-3389.
doi: 10.11999/JEIT231417
Abstract:
Empathic dialogue aims to provide mental health support for anxious users, thus chatbots with empathic capabilities is a noteworthy issue. The existing methods can only identify users’ sentiment states, but can not effectively generate empathetic res...
Empathic dialogue aims to provide mental health support for anxious users, thus chatbots with empathic capabilities is a noteworthy issue. The existing methods can only identify users’ sentiment states, but can not effectively generate empathetic res...
2024, 46(8): 3390-3399.
doi: 10.11999/JEIT230826
Abstract:
Cervical cell classification plays a crucial role in assisting the diagnosis of cervical cancer. However, existing methods for cervical cell classification do not enough consider relationships among cells and background information, and fail to effec...
Cervical cell classification plays a crucial role in assisting the diagnosis of cervical cancer. However, existing methods for cervical cell classification do not enough consider relationships among cells and background information, and fail to effec...
2024, 46(8): 3400-3409.
doi: 10.11999/JEIT231272
Abstract:
In the information era, information security is the priority that cannot be ignored. Attacks and protection against password devices are research hotspots in this field. In recent years, various attacks on cryptographic devices have become well-known...
In the information era, information security is the priority that cannot be ignored. Attacks and protection against password devices are research hotspots in this field. In recent years, various attacks on cryptographic devices have become well-known...
2024, 46(8): 3410-3418.
doi: 10.11999/JEIT231332
Abstract:
Perfect complementary sequence is a kind of signal with ideal correlation function, which is widely used in multiple access communication system, radar waveform design and so on. However, the set size of perfect complementary sequences is at most equ...
Perfect complementary sequence is a kind of signal with ideal correlation function, which is widely used in multiple access communication system, radar waveform design and so on. However, the set size of perfect complementary sequences is at most equ...
2024, 46(8): 3419-3427.
doi: 10.11999/JEIT231234
Abstract:
In vertical federated learning, the datasets of the clients have overlapping sample IDs and features of different dimensions, thus the data alignment is necessary for model training. As the intersection of the sample IDs is public in current data ali...
In vertical federated learning, the datasets of the clients have overlapping sample IDs and features of different dimensions, thus the data alignment is necessary for model training. As the intersection of the sample IDs is public in current data ali...
2024, 46(8): 3428-3435.
doi: 10.11999/JEIT231202
Abstract:
The integration of satellite communication and ground mobile communication in a complementary manner has emerged as a prevailing trend, which means the wireless radio frequency front-end with Power Amplifier (PA) as the core need to tackle the dual c...
The integration of satellite communication and ground mobile communication in a complementary manner has emerged as a prevailing trend, which means the wireless radio frequency front-end with Power Amplifier (PA) as the core need to tackle the dual c...
2024, 46(8): 3436-3444.
doi: 10.11999/JEIT231257
Abstract:
Static power consumption dominates the power overhead of Network-on-Chip (NoC) as the technology size shrinks. Power gating, a generalized power saving technique, turns off idle modules in NoCs to reduce static power consumption. However, the convent...
Static power consumption dominates the power overhead of Network-on-Chip (NoC) as the technology size shrinks. Power gating, a generalized power saving technique, turns off idle modules in NoCs to reduce static power consumption. However, the convent...
