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2024 Vol. 46, No. 10
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2024, 46(10): 3827-3848.
doi: 10.11999/JEIT240155
Abstract:
With the development of artificial intelligence technology, Synthetic Aperture Radar (SAR) target recognition based on deep neural networks has received widespread attention. However, the imaging mechanism of SAR system leads to a strong correlation ...
With the development of artificial intelligence technology, Synthetic Aperture Radar (SAR) target recognition based on deep neural networks has received widespread attention. However, the imaging mechanism of SAR system leads to a strong correlation ...
2024, 46(10): 3849-3878.
doi: 10.11999/JEIT240095
Abstract:
Biological organisms in nature are required to continuously learn from and adapt to the environment throughout their lifetime. This ongoing learning capacity serves as the fundamental basis for the biological learning systems. Despite the significant...
Biological organisms in nature are required to continuously learn from and adapt to the environment throughout their lifetime. This ongoing learning capacity serves as the fundamental basis for the biological learning systems. Despite the significant...
2024, 46(10): 3879-3889.
doi: 10.11999/JEIT231064
Abstract:
To address the catastrophic forgetting problem in Class Incremental Learning (CIL), a class incremental learning algorithm with dual separation of data flow and feature space for various classes is proposed in this paper. The Dual Separation (S2) alg...
To address the catastrophic forgetting problem in Class Incremental Learning (CIL), a class incremental learning algorithm with dual separation of data flow and feature space for various classes is proposed in this paper. The Dual Separation (S2) alg...
2024, 46(10): 3890-3907.
doi: 10.11999/JEIT240138
Abstract:
The existing Synthetic Aperture Radar (SAR) target recognition methods are mostly limited to the closed-set assumption, which considers that the training target categories in training template library cover all the categories to be tested and is not ...
The existing Synthetic Aperture Radar (SAR) target recognition methods are mostly limited to the closed-set assumption, which considers that the training target categories in training template library cover all the categories to be tested and is not ...
2024, 46(10): 3908-3917.
doi: 10.11999/JEIT231426
Abstract:
In open, dynamic environments where the range of object categories continually expands, the challenge of remote sensing object detection is to detect a known set of object categories while simultaneously identifying unknown objects. To this end, a re...
In open, dynamic environments where the range of object categories continually expands, the challenge of remote sensing object detection is to detect a known set of object categories while simultaneously identifying unknown objects. To this end, a re...
2024, 46(10): 3918-3927.
doi: 10.11999/JEIT240217
Abstract:
To ensure the Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR) system can quickly adapt to new application environments, it must possess the ability to rapidly learn new classes. Currently, SAR ATR systems require repetitive training...
To ensure the Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR) system can quickly adapt to new application environments, it must possess the ability to rapidly learn new classes. Currently, SAR ATR systems require repetitive training...
2024, 46(10): 3928-3935.
doi: 10.11999/JEIT240140
Abstract:
Improving the generalization performance of methods under limited sample conditions is an important research direction in Synthetic Aperture Radar Automatic Target Recognition (SAR ATR). Addressing the fundamental problem in this field, a causal mode...
Improving the generalization performance of methods under limited sample conditions is an important research direction in Synthetic Aperture Radar Automatic Target Recognition (SAR ATR). Addressing the fundamental problem in this field, a causal mode...
2024, 46(10): 3936-3948.
doi: 10.11999/JEIT231470
Abstract:
To power Deep-Learning (DL) based Synthetic Aperture Radar Automatic Target Recognition (SAR ATR) systems with the capability of learning new-class targets incrementally and rapidly in openly dynamic non-cooperative situations, the problem of Few-Sho...
To power Deep-Learning (DL) based Synthetic Aperture Radar Automatic Target Recognition (SAR ATR) systems with the capability of learning new-class targets incrementally and rapidly in openly dynamic non-cooperative situations, the problem of Few-Sho...
2024, 46(10): 3949-3956.
doi: 10.11999/JEIT240050
Abstract:
The Radio Environment Map (REM) is one of the effective ways to represent the electromagnetic situation. Considering the issue that the actual observed incomplete spectrum map is corrupted by the impulses and the noises, the incomplete radio environm...
The Radio Environment Map (REM) is one of the effective ways to represent the electromagnetic situation. Considering the issue that the actual observed incomplete spectrum map is corrupted by the impulses and the noises, the incomplete radio environm...
2024, 46(10): 3957-3965.
doi: 10.11999/JEIT240100
Abstract:
Intelligent jamming is a technique that utilizes environmental feedback information and autonomous learning of jamming strategies to effectively disrupt the communication links of the enemy. However, most existing research on intelligent jamming assu...
Intelligent jamming is a technique that utilizes environmental feedback information and autonomous learning of jamming strategies to effectively disrupt the communication links of the enemy. However, most existing research on intelligent jamming assu...
2024, 46(10): 3966-3978.
doi: 10.11999/JEIT240171
Abstract:
Due to the coupling effect of emitter distortion and receiver distortion, the actual received signal contains the information of the current emitter system and the receiving system, which makes the Radio Frequency Fingerprinting (RFF) technology unab...
Due to the coupling effect of emitter distortion and receiver distortion, the actual received signal contains the information of the current emitter system and the receiving system, which makes the Radio Frequency Fingerprinting (RFF) technology unab...
2024, 46(10): 3979-4001.
doi: 10.11999/JEIT240172
Abstract:
The significant advancement of deep learning has facilitated the emergence of high-precision interpretation models for remote-sensing images. However, a notable drawback is that the majority of interpretation models are trained independently on stati...
The significant advancement of deep learning has facilitated the emergence of high-precision interpretation models for remote-sensing images. However, a notable drawback is that the majority of interpretation models are trained independently on stati...
2024, 46(10): 4002-4008.
doi: 10.11999/JEIT240584
Abstract:
Massive Machine-Type Communication (mMTC) is one of the typical scenarios of the fifth-generation mobile communications systems, and nearly one million devices per square kilometer can be connected under this circumstance. The Reconfigurable Intellig...
Massive Machine-Type Communication (mMTC) is one of the typical scenarios of the fifth-generation mobile communications systems, and nearly one million devices per square kilometer can be connected under this circumstance. The Reconfigurable Intellig...
2024, 46(10): 4009-4016.
doi: 10.11999/JEIT240048
Abstract:
Data collection problem in an Unmanned Aerial Vehicle (UAV)-assisted wireless sensor network is addressed. Firstly, an initial Sensor Node (SN) clustering strategy is proposed based on the mean drift algorithm, then an SN switching algorithm is desig...
Data collection problem in an Unmanned Aerial Vehicle (UAV)-assisted wireless sensor network is addressed. Firstly, an initial Sensor Node (SN) clustering strategy is proposed based on the mean drift algorithm, then an SN switching algorithm is desig...
2024, 46(10): 4017-4023.
doi: 10.11999/JEIT230879
Abstract:
A rateless coding scheme based on Bernoulli random construction is proposed for strong interference communication environments, which differs from the traditional Luby Transform (LT) rateless codes. The scheme utilizes the Locally Constrained Ordered...
A rateless coding scheme based on Bernoulli random construction is proposed for strong interference communication environments, which differs from the traditional Luby Transform (LT) rateless codes. The scheme utilizes the Locally Constrained Ordered...
2024, 46(10): 4024-4034.
doi: 10.11999/JEIT240075
Abstract:
The information freshness is measured by Age of Information (AoI) of each sensor in Wireless Sensor Networks (WSN). The UAV optimizes flight trajectories and accelerates speed to assist WSN data collection, which guarantees that the data offloaded to...
The information freshness is measured by Age of Information (AoI) of each sensor in Wireless Sensor Networks (WSN). The UAV optimizes flight trajectories and accelerates speed to assist WSN data collection, which guarantees that the data offloaded to...
2024, 46(10): 4035-4043.
doi: 10.11999/JEIT240013
Abstract:
Traditional methods for multi-target bias registration in networked radar system typically assume that the data association relationship is known. However, in the case of platform maneuvering, there are simultaneously radar measurement biases and pla...
Traditional methods for multi-target bias registration in networked radar system typically assume that the data association relationship is known. However, in the case of platform maneuvering, there are simultaneously radar measurement biases and pla...
2024, 46(10): 4044-4052.
doi: 10.11999/JEIT231348
Abstract:
Aiming at the difficulties in extracting fingerprint features from communication emitters and the low recognition rate of single features, considering the nonlinear and non-stationary characteristics of subtle features of communication emitters, this...
Aiming at the difficulties in extracting fingerprint features from communication emitters and the low recognition rate of single features, considering the nonlinear and non-stationary characteristics of subtle features of communication emitters, this...
2024, 46(10): 4053-4061.
doi: 10.11999/JEIT240067
Abstract:
The navigation signal authentication service is in the initial stage. The coverage multiple numbers of the authentication signal to ground can not meet the requirement of independent positioning and timing. The existing research has paid little atten...
The navigation signal authentication service is in the initial stage. The coverage multiple numbers of the authentication signal to ground can not meet the requirement of independent positioning and timing. The existing research has paid little atten...
2024, 46(10): 4062-4071.
doi: 10.11999/JEIT231025
Abstract:
Gait recognition is susceptible to external factors such as camera viewpoints, clothing, and carrying conditions, which could lead to performance degradation. To address these issues, the technique of non-rigid point set registration is introduced in...
Gait recognition is susceptible to external factors such as camera viewpoints, clothing, and carrying conditions, which could lead to performance degradation. To address these issues, the technique of non-rigid point set registration is introduced in...
2024, 46(10): 4072-4080.
doi: 10.11999/JEIT240082
Abstract:
Aggressive scaling of CMOS technologies can cause the reliability issues of circuits. Two highly reliable Radiation Hardened By Design (RHBD) 10T and 12T Static Random-Access Memory (SRAM) cells are presented in this paper, which can protect against ...
Aggressive scaling of CMOS technologies can cause the reliability issues of circuits. Two highly reliable Radiation Hardened By Design (RHBD) 10T and 12T Static Random-Access Memory (SRAM) cells are presented in this paper, which can protect against ...
