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2023 Vol. 45, No. 4
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2023, 45(4): 1147-1153.
doi: 10.11999/JEIT220170
Abstract:
In a traditional Non-Orthogonal Multiple Access (NOMA) system, more power is usually allocated to edge users to ensure its communication quality. However, the fairness of the system comes at the expense of system capacity. Introducing collaborative c...
In a traditional Non-Orthogonal Multiple Access (NOMA) system, more power is usually allocated to edge users to ensure its communication quality. However, the fairness of the system comes at the expense of system capacity. Introducing collaborative c...
2023, 45(4): 1154-1162.
doi: 10.11999/JEIT220279
Abstract:
In recent years new services such as road monitoring and assisted driving in smart highways have been proposed, but the explosive growth of data traffic has also emerged, which has brought a great test to the carrying capacity of the network. With th...
In recent years new services such as road monitoring and assisted driving in smart highways have been proposed, but the explosive growth of data traffic has also emerged, which has brought a great test to the carrying capacity of the network. With th...
2023, 45(4): 1163-1172.
doi: 10.11999/JEIT220140
Abstract:
Intelligent vehicle localization based on 3D Light Detection And Ranging (LiDAR) is still a challenging task in map storage and the efficiency and accuracy of map matching. A lightweight node-level polarized LiDAR map is constructed by a series of no...
Intelligent vehicle localization based on 3D Light Detection And Ranging (LiDAR) is still a challenging task in map storage and the efficiency and accuracy of map matching. A lightweight node-level polarized LiDAR map is constructed by a series of no...
2023, 45(4): 1173-1182.
doi: 10.11999/JEIT220231
Abstract:
As a short-range communication technology, Device-to-Device (D2D) communication can greatly reduce the load pressure on cellular base stations and improve spectrum utilization. However, the direct deployment of D2D to licensed or unlicensed bands wil...
As a short-range communication technology, Device-to-Device (D2D) communication can greatly reduce the load pressure on cellular base stations and improve spectrum utilization. However, the direct deployment of D2D to licensed or unlicensed bands wil...
2023, 45(4): 1183-1191.
doi: 10.11999/JEIT220121
Abstract:
To improve further the concealment performance of satellite signals, combined with the constellation confusion characteristics of Weighted FRactional Fourier Transform (WFRFT) and the anti-interception characteristics of chaotic trajectory, a dual po...
To improve further the concealment performance of satellite signals, combined with the constellation confusion characteristics of Weighted FRactional Fourier Transform (WFRFT) and the anti-interception characteristics of chaotic trajectory, a dual po...
2023, 45(4): 1192-1200.
doi: 10.11999/JEIT220266
Abstract:
In order to improve the safety performance of satellite communication signal, a multi-layer multi-parameter Multi-term Weighted-type FRactional Fourier Transform (MWFRFT) composite modulation communication signal design method is proposed in this pap...
In order to improve the safety performance of satellite communication signal, a multi-layer multi-parameter Multi-term Weighted-type FRactional Fourier Transform (MWFRFT) composite modulation communication signal design method is proposed in this pap...
2023, 45(4): 1201-1210.
doi: 10.11999/JEIT220278
Abstract:
Non-Orthogonal Multiple Access (NOMA) is one of the key candidate technologies for 5G networks. Combined with Cognitive Radio (CR) technology, the CR-NOMA system achieves higher spectral efficiency and greater throughput quantity. The Coordinated Dir...
Non-Orthogonal Multiple Access (NOMA) is one of the key candidate technologies for 5G networks. Combined with Cognitive Radio (CR) technology, the CR-NOMA system achieves higher spectral efficiency and greater throughput quantity. The Coordinated Dir...
2023, 45(4): 1211-1218.
doi: 10.11999/JEIT220246
Abstract:
For evaluating the problem of information security transmission in cooperative Non-Orthogonal Multiple Access (NOMA) system, a Physical Layer Secure (PLS) transmission scheme based on Modify-and-Forward (MF) relay is proposed. The scheme uses MF rela...
For evaluating the problem of information security transmission in cooperative Non-Orthogonal Multiple Access (NOMA) system, a Physical Layer Secure (PLS) transmission scheme based on Modify-and-Forward (MF) relay is proposed. The scheme uses MF rela...
2023, 45(4): 1219-1226.
doi: 10.11999/JEIT220075
Abstract:
In order to improve the bit error rate performance of the irregular Quasi-Cyclic Low-Density Parity-Check (QC-LDPC) codes and reduce the complexity of the construction algorithm, an optimization algorithm based on basis matrix arrangement is proposed...
In order to improve the bit error rate performance of the irregular Quasi-Cyclic Low-Density Parity-Check (QC-LDPC) codes and reduce the complexity of the construction algorithm, an optimization algorithm based on basis matrix arrangement is proposed...
2023, 45(4): 1227-1235.
doi: 10.11999/JEIT220190
Abstract:
Focusing on the problem that the signal characteristics are not related to the hardware composition in the specific emitter identification, two feature extraction methods are used in this paper: high-order spectral analysis and Variational Modal Deco...
Focusing on the problem that the signal characteristics are not related to the hardware composition in the specific emitter identification, two feature extraction methods are used in this paper: high-order spectral analysis and Variational Modal Deco...
2023, 45(4): 1236-1242.
doi: 10.11999/JEIT220261
Abstract:
In this paper, an integrated detection and tracking algorithm assisted by multi-information is proposed for bistatic radar. Combining with multiple prior information such as target position and echo amplitude obtained by the radar in the target track...
In this paper, an integrated detection and tracking algorithm assisted by multi-information is proposed for bistatic radar. Combining with multiple prior information such as target position and echo amplitude obtained by the radar in the target track...
2023, 45(4): 1243-1253.
doi: 10.11999/JEIT220250
Abstract:
With the development of Synthetic Aperture Radar (SAR) technology, Multidimensional Space Joint-observation, which includes polarimetry, frequency, angle, and time spaces, has become an important trend in SAR development, but there are few reports on...
With the development of Synthetic Aperture Radar (SAR) technology, Multidimensional Space Joint-observation, which includes polarimetry, frequency, angle, and time spaces, has become an important trend in SAR development, but there are few reports on...
2023, 45(4): 1254-1264.
doi: 10.11999/JEIT220322
Abstract:
Airborne Synthetic Aperture Radar Altimeter (SARA) is capable of exploiting the high-resolution in along-track, which has been attracted wide concerns. However, the existing re-tracking methods are mostly based on the least square operator. The perfo...
Airborne Synthetic Aperture Radar Altimeter (SARA) is capable of exploiting the high-resolution in along-track, which has been attracted wide concerns. However, the existing re-tracking methods are mostly based on the least square operator. The perfo...
2023, 45(4): 1265-1274.
doi: 10.11999/JEIT220193
Abstract:
The multi-layer structure of the ionosphere can support several signal propagation paths between the sky-wave Over-The-Horizon Radar (OTHR) and targets, often giving rise to multipath measurements for a single target. The problem of multipath measure...
The multi-layer structure of the ionosphere can support several signal propagation paths between the sky-wave Over-The-Horizon Radar (OTHR) and targets, often giving rise to multipath measurements for a single target. The problem of multipath measure...
2023, 45(4): 1275-1284.
doi: 10.11999/JEIT220215
Abstract:
To solve the optimization problem of bistatic radar for belt barrier coverage, a two-dimensional deployment optimization method using adjacent deployment lines is proposed. First, the field of interest is approximately represented by a rectangular ar...
To solve the optimization problem of bistatic radar for belt barrier coverage, a two-dimensional deployment optimization method using adjacent deployment lines is proposed. First, the field of interest is approximately represented by a rectangular ar...
2023, 45(4): 1285-1292.
doi: 10.11999/JEIT220239
Abstract:
The Interrupted Frequency Modulated Continuous Wave (IFMCW) Synthetic Aperture Radar (SAR) is a novel type of SAR system,which has the advantages of light weight, low cost, and low power consumption. The system subverts the design concept of the trad...
The Interrupted Frequency Modulated Continuous Wave (IFMCW) Synthetic Aperture Radar (SAR) is a novel type of SAR system,which has the advantages of light weight, low cost, and low power consumption. The system subverts the design concept of the trad...
2023, 45(4): 1293-1302.
doi: 10.11999/JEIT220127
Abstract:
In light of difficulties in detecting stable Pulse Repetition Interval (PRI) sequence and estimating its PRI in interleaving pulse stream, a fast detecting method based on plane transformation is proposed to solve the above problems. By one time-doma...
In light of difficulties in detecting stable Pulse Repetition Interval (PRI) sequence and estimating its PRI in interleaving pulse stream, a fast detecting method based on plane transformation is proposed to solve the above problems. By one time-doma...
2023, 45(4): 1303-1312.
doi: 10.11999/JEIT220213
Abstract:
High-resolution radar systems monitor multiple extended targets with different shapes in a surveillance area. Reliable shapes estimation can effectively improve tracking performance and are crucial to battle-field situation evaluations. In this paper...
High-resolution radar systems monitor multiple extended targets with different shapes in a surveillance area. Reliable shapes estimation can effectively improve tracking performance and are crucial to battle-field situation evaluations. In this paper...
2023, 45(4): 1313-1320.
doi: 10.11999/JEIT220171
Abstract:
This paper focuses on adaptive filtering techniques for parameter identification of Hammerstein systems and output prediction of nonlinear systems. By formulating the underlying filtering problem as a recursive bilinear least-squares optimization wit...
This paper focuses on adaptive filtering techniques for parameter identification of Hammerstein systems and output prediction of nonlinear systems. By formulating the underlying filtering problem as a recursive bilinear least-squares optimization wit...
2023, 45(4): 1321-1329.
doi: 10.11999/JEIT220883
Abstract:
Ground-Based Synthetic Aperture Radar (GBSAR) is an all-day all-weather, non-contact, high-precision instrument for wide-area deformation monitoring, which has been widely used to monitormining areas, slops, and dams. When monitoring the outside scen...
2023, 45(4): 1330-1337.
doi: 10.11999/JEIT220067
Abstract:
In order to solve the problem of single function of passive metasurface, a polarization multiplexed transmission Huygens metasurface is proposed, which realizes the independent focusing characteristics of x-polarized and y-polarized incident waves. T...
In order to solve the problem of single function of passive metasurface, a polarization multiplexed transmission Huygens metasurface is proposed, which realizes the independent focusing characteristics of x-polarized and y-polarized incident waves. T...
2023, 45(4): 1338-1345.
doi: 10.11999/JEIT220119
Abstract:
Considering the single defect of the transmitter of the existing mechanical ultra-low frequency antenna and the bottleneck of limited communication distance, In order to realize the miniaturization and long-distance transmission of ultra-low frequenc...
Considering the single defect of the transmitter of the existing mechanical ultra-low frequency antenna and the bottleneck of limited communication distance, In order to realize the miniaturization and long-distance transmission of ultra-low frequenc...
2023, 45(4): 1346-1355.
doi: 10.11999/JEIT220207
Abstract:
Considering the problem of multi-keyword fuzzy matching and user fairness in one-to-many data ciphertext sharing, a multi-keyword fuzzy search encryption scheme based on blockchain is proposed. An R-HashMap index structure is proposed. The secure ind...
Considering the problem of multi-keyword fuzzy matching and user fairness in one-to-many data ciphertext sharing, a multi-keyword fuzzy search encryption scheme based on blockchain is proposed. An R-HashMap index structure is proposed. The secure ind...
2023, 45(4): 1356-1365.
doi: 10.11999/JEIT220161
Abstract:
Federated learning has the problem of privacy leakage from the gradient. The existing gradient protection schemes based on homomorphic encryption incur a large time cost and the risk of gradient leakage caused by potential collusion between participa...
Federated learning has the problem of privacy leakage from the gradient. The existing gradient protection schemes based on homomorphic encryption incur a large time cost and the risk of gradient leakage caused by potential collusion between participa...
2023, 45(4): 1366-1373.
doi: 10.11999/JEIT220175
Abstract:
In order to optimize the training delay of the hierarchical Federated Learning (FL) global model, focusing on the selfishness of the terminal devices in the actual scene, an incentive mechanism based on game theory is proposed. Under the condition of...
In order to optimize the training delay of the hierarchical Federated Learning (FL) global model, focusing on the selfishness of the terminal devices in the actual scene, an incentive mechanism based on game theory is proposed. Under the condition of...
2023, 45(4): 1374-1382.
doi: 10.11999/JEIT220178
Abstract:
It is a difficult problem to perceive comprehensively and accurately the eclipse attack of each node in the blockchain network. For this problem, this paper proposes a blockchain security situational awareness method based on the Markov attack graph ...
It is a difficult problem to perceive comprehensively and accurately the eclipse attack of each node in the blockchain network. For this problem, this paper proposes a blockchain security situational awareness method based on the Markov attack graph ...
2023, 45(4): 1383-1390.
doi: 10.11999/JEIT220157
Abstract:
As the most common severe weather, rain can degrade the performance of many vision systems designed for clear imaging conditions. In order to realize the simultaneous removal of rain streaks and rain accumulation, and to deal with various real rain s...
As the most common severe weather, rain can degrade the performance of many vision systems designed for clear imaging conditions. In order to realize the simultaneous removal of rain streaks and rain accumulation, and to deal with various real rain s...
2023, 45(4): 1391-1400.
doi: 10.11999/JEIT221499
Abstract:
Traditional fusion algorithms of infrared and visible images often have defects such as insufficient target extraction and loss of details, which lead to unsatisfactory fusion effects, and the fused image can not be applied to target detection, track...
2023, 45(4): 1401-1411.
doi: 10.11999/JEIT220120
Abstract:
There are two major problems in the research on brain functional activation: feature extraction relies on experience; and it is difficult to mine deep physiological information. Focusing on these two problems, this paper proposes a self-adaptive Vari...
There are two major problems in the research on brain functional activation: feature extraction relies on experience; and it is difficult to mine deep physiological information. Focusing on these two problems, this paper proposes a self-adaptive Vari...
2023, 45(4): 1412-1425.
doi: 10.11999/JEIT220172
Abstract:
In recent years, medical image processing with CNN has made remarkable research progress in the task of chest film disease classification. However, compared with single structure CNN, dual-path network can combine the characteristics of different CNN...
In recent years, medical image processing with CNN has made remarkable research progress in the task of chest film disease classification. However, compared with single structure CNN, dual-path network can combine the characteristics of different CNN...
2023, 45(4): 1426-1434.
doi: 10.11999/JEIT220204
Abstract:
In recent years, graph convolutional network has been widely used in hyperspectral image classification because of its feature aggregation mechanism, which can simultaneously represent the features of a single node and neighboring nodes. However, the...
In recent years, graph convolutional network has been widely used in hyperspectral image classification because of its feature aggregation mechanism, which can simultaneously represent the features of a single node and neighboring nodes. However, the...
2023, 45(4): 1435-1444.
doi: 10.11999/JEIT220201
Abstract:
Most state-of-the-art building extraction from satellite imagery are based on binary segmentation. However, the geographic information has not been considered in these methods, thus, it is difficult to extract building accurately. To consider fully t...
Most state-of-the-art building extraction from satellite imagery are based on binary segmentation. However, the geographic information has not been considered in these methods, thus, it is difficult to extract building accurately. To consider fully t...
2023, 45(4): 1445-1453.
doi: 10.11999/JEIT220122
Abstract:
In pedestrian detection, small-scale pedestrians are often missed and mistakenly detected. In order to improve detection precision and reduce miss detection rate of small-scale pedestrians, a feature enhancement module is proposed. First, considering...
In pedestrian detection, small-scale pedestrians are often missed and mistakenly detected. In order to improve detection precision and reduce miss detection rate of small-scale pedestrians, a feature enhancement module is proposed. First, considering...
2023, 45(4): 1454-1463.
doi: 10.11999/JEIT220113
Abstract:
Deep learning algorithms represented by Convolutional Neural Networks (CNN) are highly dependent on the nonlinearity of the model and debugging techniques, which have generally black-box properties during practical applications, limiting severely the...
Deep learning algorithms represented by Convolutional Neural Networks (CNN) are highly dependent on the nonlinearity of the model and debugging techniques, which have generally black-box properties during practical applications, limiting severely the...
2023, 45(4): 1464-1474.
doi: 10.11999/JEIT220217
Abstract:
Considering the low efficiency of traditional ElectroCardioGram(ECG) classification methods, an accurate and fast ElectroCardioGram classification method based on Adaptive Fast S-Transform (AFST) and XGBoost is proposed. Firstly, the main feature poi...
Considering the low efficiency of traditional ElectroCardioGram(ECG) classification methods, an accurate and fast ElectroCardioGram classification method based on Adaptive Fast S-Transform (AFST) and XGBoost is proposed. Firstly, the main feature poi...
2023, 45(4): 1475-1484.
doi: 10.11999/JEIT220218
Abstract:
Understanding the attention mechanism of the human visual system has attracted much research attention from researchers and industries. Recent studies of attention mechanisms focus mainly on observer patterns. However, more intelligent applications a...
Understanding the attention mechanism of the human visual system has attracted much research attention from researchers and industries. Recent studies of attention mechanisms focus mainly on observer patterns. However, more intelligent applications a...
2023, 45(4): 1485-1493.
doi: 10.11999/JEIT220270
Abstract:
In recent years, skeleton-based human action recognition has attracted widespread attention because of the robustness and generalization ability of skeleton data. Among them, the graph convolutional network that models the human skeleton into a spati...
In recent years, skeleton-based human action recognition has attracted widespread attention because of the robustness and generalization ability of skeleton data. Among them, the graph convolutional network that models the human skeleton into a spati...
2023, 45(4): 1494-1504.
doi: 10.11999/JEIT220182
Abstract:
The unsupervised image segmentation method is sensitive to noise, leading to difficult building image model and poor accuracy of segmentation results. In this paper, a minimum spanning tree segmentation and extract with image edge weight optimization...
The unsupervised image segmentation method is sensitive to noise, leading to difficult building image model and poor accuracy of segmentation results. In this paper, a minimum spanning tree segmentation and extract with image edge weight optimization...
2023, 45(4): 1505-1513.
doi: 10.11999/JEIT220249
Abstract:
Mobile Crowd Sensing (MCS) is a new paradigm that collects sensing data via the mobility of massive workers and carried sensing devices. Current works focus on the task allocation issue and improving sensing data quality. However, they ignore the sen...
Mobile Crowd Sensing (MCS) is a new paradigm that collects sensing data via the mobility of massive workers and carried sensing devices. Current works focus on the task allocation issue and improving sensing data quality. However, they ignore the sen...
2023, 45(4): 1514-1528.
doi: 10.11999/JEIT220116
Abstract:
As an emerging technology, edge intelligence is receiving extensive attention from scholars at home and abroad. As a combination of artificial intelligence technology and edge computing technology, it is expected to promote the deployment of artifici...
As an emerging technology, edge intelligence is receiving extensive attention from scholars at home and abroad. As a combination of artificial intelligence technology and edge computing technology, it is expected to promote the deployment of artifici...
