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2021 Vol. 43, No. 10
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2021, 43(10): 2757-2770.
doi: 10.11999/JEIT210118
Abstract:
Sparse Code Multiple Access (SCMA) is a non-orthogonal multiple access scheme with high spectrum efficiency and massive connectivity. Multi-user detection is a key issue of SCMA system and how to reduce the complexity of detection algorithms has beco...
Sparse Code Multiple Access (SCMA) is a non-orthogonal multiple access scheme with high spectrum efficiency and massive connectivity. Multi-user detection is a key issue of SCMA system and how to reduce the complexity of detection algorithms has beco...
2021, 43(10): 2771-2780.
doi: 10.11999/JEIT200451
Abstract:
Sea clutter is one of the main limiting factors influencing the target detection performance of nautical radars, and its physical mechanism at low grazing angles has been widely studied. Due to the difference in the generation mechanism, it is diffic...
Sea clutter is one of the main limiting factors influencing the target detection performance of nautical radars, and its physical mechanism at low grazing angles has been widely studied. Due to the difference in the generation mechanism, it is diffic...
2021, 43(10): 2781-2789.
doi: 10.11999/JEIT200777
Abstract:
In spaceborne Synthetic Aperture Radar (SAR) imaging, the coherence of azimuth signals might be degraded by spatio-temporal variations of the background ionosphere, especially for low-frequency systems. In this paper, the azimuth temporal-varying Sla...
In spaceborne Synthetic Aperture Radar (SAR) imaging, the coherence of azimuth signals might be degraded by spatio-temporal variations of the background ionosphere, especially for low-frequency systems. In this paper, the azimuth temporal-varying Sla...
2021, 43(10): 2790-2797.
doi: 10.11999/JEIT200981
Abstract:
To avoid the detection to own fighters from adversary’s radar, a method is proposed in this paper, under which the fighter transmits radio frequency shielding signals. If Constant False Alarm Rate (CFAR) detector is used in adversary’s radars, advers...
To avoid the detection to own fighters from adversary’s radar, a method is proposed in this paper, under which the fighter transmits radio frequency shielding signals. If Constant False Alarm Rate (CFAR) detector is used in adversary’s radars, advers...
2021, 43(10): 2798-2804.
doi: 10.11999/JEIT200973
Abstract:
An algorithm based on high-efficiency FRactional Fourier Transform (FRFT) and fourth-order origin moments in the fractional-domain spectrum is proposed to estimate quickly the chirp signal at low signal-to-noise ratio. Firstly, the initial interval o...
An algorithm based on high-efficiency FRactional Fourier Transform (FRFT) and fourth-order origin moments in the fractional-domain spectrum is proposed to estimate quickly the chirp signal at low signal-to-noise ratio. Firstly, the initial interval o...
2021, 43(10): 2805-2814.
doi: 10.11999/JEIT200975
Abstract:
According to the low sampling efficiency of particle filter track before detecting in high dimension state space with bearing-frequency measurements of passive sonar, a two-hierarchy sampling method based on the observability of leg-by-leg maneuver i...
According to the low sampling efficiency of particle filter track before detecting in high dimension state space with bearing-frequency measurements of passive sonar, a two-hierarchy sampling method based on the observability of leg-by-leg maneuver i...
2021, 43(10): 2815-2823.
doi: 10.11999/JEIT210234
Abstract:
Detection and tracking of low signal-to-noise ratio nonlinear frequency modulated signal can be effectively solved by Track-Before-Detecting (TBD) algorithms based on particle filters. However, the algorithms are high in computational complexity and ...
Detection and tracking of low signal-to-noise ratio nonlinear frequency modulated signal can be effectively solved by Track-Before-Detecting (TBD) algorithms based on particle filters. However, the algorithms are high in computational complexity and ...
2021, 43(10): 2824-2831.
doi: 10.11999/JEIT200748
Abstract:
The order of traditional Spectrum Spread and Compression (SSC) blind frequency shift jamming is an integer. To achieve accurate position interference, different processing delays need to be adjusted, which has certain limitations in practical applica...
The order of traditional Spectrum Spread and Compression (SSC) blind frequency shift jamming is an integer. To achieve accurate position interference, different processing delays need to be adjusted, which has certain limitations in practical applica...
2021, 43(10): 2832-2839.
doi: 10.11999/JEIT200604
Abstract:
The compact High-Frequency Surface Wave Radar (HFSWR) has low spatial resolution for target detection due to its reduced aperture size of the receiving antenna array. The sequential plot-to-track association method used in multi-target tracking algor...
The compact High-Frequency Surface Wave Radar (HFSWR) has low spatial resolution for target detection due to its reduced aperture size of the receiving antenna array. The sequential plot-to-track association method used in multi-target tracking algor...
2021, 43(10): 2840-2847.
doi: 10.11999/JEIT210620
Abstract:
Different from the traditional multi-target tracking problem which has the measurements to targets data association uncertainty problem, the multistatic passive radar multi-target tacking system has the additional measurements to illuminators data as...
Different from the traditional multi-target tracking problem which has the measurements to targets data association uncertainty problem, the multistatic passive radar multi-target tacking system has the additional measurements to illuminators data as...
2021, 43(10): 2848-2853.
doi: 10.11999/JEIT200559
Abstract:
To solve the problem that the carrier antenna beam directs to Beidou satellite in Beidou short-message communication, a direction algorithm of the antenna beam is proposed. According to the position and the attitude of the carrier, the angle of the a...
To solve the problem that the carrier antenna beam directs to Beidou satellite in Beidou short-message communication, a direction algorithm of the antenna beam is proposed. According to the position and the attitude of the carrier, the angle of the a...
2021, 43(10): 2854-2862.
doi: 10.11999/JEIT201042
Abstract:
In view of the problem that the efficient detection model SSD-MV2 (Single Shot Detector MobileNet V2) has low detection accuracy to underwater multi-scale targets in Synthetic Aperture Sonar (SAS) images, a novel feature extraction module Extended Se...
In view of the problem that the efficient detection model SSD-MV2 (Single Shot Detector MobileNet V2) has low detection accuracy to underwater multi-scale targets in Synthetic Aperture Sonar (SAS) images, a novel feature extraction module Extended Se...
2021, 43(10): 2863-2870.
doi: 10.11999/JEIT200697
Abstract:
Focusing on the problem of rather large estimation error in Direction Of Arrival (DOA) estimation caused by grid mismatch in the sparse representation model, an Off-Grid DOA estimation method based on Covariance Matrix Reconstruction (OGCMR) is propo...
Focusing on the problem of rather large estimation error in Direction Of Arrival (DOA) estimation caused by grid mismatch in the sparse representation model, an Off-Grid DOA estimation method based on Covariance Matrix Reconstruction (OGCMR) is propo...
2021, 43(10): 2871-2877.
doi: 10.11999/JEIT200526
Abstract:
In case of the traditional three-satellite time-frequency difference positioning system with unknown elevation, it will produce positioning errors caused by the target speed to the moving state radiation source. A new method of fusion passive trackin...
In case of the traditional three-satellite time-frequency difference positioning system with unknown elevation, it will produce positioning errors caused by the target speed to the moving state radiation source. A new method of fusion passive trackin...
2021, 43(10): 2878-2885.
doi: 10.11999/JEIT200683
Abstract:
In view of the problem that dual-dispersion channels will reduce the reliability of channel estimation in high-speed mobile environments, a channel estimation algorithm based on compressed sensing is proposed in the input-output model of Orthogonal T...
In view of the problem that dual-dispersion channels will reduce the reliability of channel estimation in high-speed mobile environments, a channel estimation algorithm based on compressed sensing is proposed in the input-output model of Orthogonal T...
2021, 43(10): 2886-2893.
doi: 10.11999/JEIT200961
Abstract:
Large-scale disaster events might critically threaten and damage the infrastructure of telecom networks. In view of the virtual network survivability issue under large-scale disaster risks, a Multi-virtual-machine Rapid Cooperative Evacuation (MRCE) ...
Large-scale disaster events might critically threaten and damage the infrastructure of telecom networks. In view of the virtual network survivability issue under large-scale disaster risks, a Multi-virtual-machine Rapid Cooperative Evacuation (MRCE) ...
2021, 43(10): 2894-2901.
doi: 10.11999/JEIT200711
Abstract:
Novel signal detection technique is conceived for Generalized Space Shift Keying (GSSK) modulated indoor Visible Light Communication (VLC) system, which is aided by one of popular machine learning approach termed as Support Vector Machine (SVM). For ...
Novel signal detection technique is conceived for Generalized Space Shift Keying (GSSK) modulated indoor Visible Light Communication (VLC) system, which is aided by one of popular machine learning approach termed as Support Vector Machine (SVM). For ...
2021, 43(10): 2902-2910.
doi: 10.11999/JEIT200995
Abstract:
In this paper, a match theory based uplink user association algorithm is proposed for maximizing energy efficiency and guaranteeing Quality of Service (QoS) requirements in a ultra-dense heterogeneous cellular networks with Human-to-Human (H2H) and M...
In this paper, a match theory based uplink user association algorithm is proposed for maximizing energy efficiency and guaranteeing Quality of Service (QoS) requirements in a ultra-dense heterogeneous cellular networks with Human-to-Human (H2H) and M...
2021, 43(10): 2911-2919.
doi: 10.11999/JEIT201005
Abstract:
The traditional spectrum sensing method of Convolutional Neural Network (CNN) has a simple network structure which limits the ability of feature extraction. To solve the problem of gradient disappearance, a cooperative spectrum sensing method based o...
The traditional spectrum sensing method of Convolutional Neural Network (CNN) has a simple network structure which limits the ability of feature extraction. To solve the problem of gradient disappearance, a cooperative spectrum sensing method based o...
2021, 43(10): 2920-2927.
doi: 10.11999/JEIT200702
Abstract:
Considering the problems of multihop relay transmission in energy harvesting cognitive radio networks, a novel Power Beacon (PB) assisted energy harvesting cognitive multihop relay network model with primary network interference is proposed, and a on...
Considering the problems of multihop relay transmission in energy harvesting cognitive radio networks, a novel Power Beacon (PB) assisted energy harvesting cognitive multihop relay network model with primary network interference is proposed, and a on...
2021, 43(10): 2928-2935.
doi: 10.11999/JEIT200682
Abstract:
For the problem in the existing Multi-Layer Perceptron (MLP) based DDoS detection model parameter update method that the old model parameter training dataset knowledge is forgettable and the time and space complexity are enormous, a novel model param...
For the problem in the existing Multi-Layer Perceptron (MLP) based DDoS detection model parameter update method that the old model parameter training dataset knowledge is forgettable and the time and space complexity are enormous, a novel model param...
2021, 43(10): 2936-2943.
doi: 10.11999/JEIT210095
Abstract:
Based on the theory of generalized cyclotomy, the minimal polynomial and linear complexity of a class of generalized cyclotomic quaternary sequences with period\begin{document}$2{p^2}$\end{document} ![]()
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Based on the theory of generalized cyclotomy, the minimal polynomial and linear complexity of a class of generalized cyclotomic quaternary sequences with period
2021, 43(10): 2944-2951.
doi: 10.11999/JEIT200679
Abstract:
To improve the accuracy of malicious domain name detection, a new detection model based on Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) is proposed. The model extracts the sequence features from different length strings to cla...
To improve the accuracy of malicious domain name detection, a new detection model based on Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) is proposed. The model extracts the sequence features from different length strings to cla...
2021, 43(10): 2952-2957.
doi: 10.11999/JEIT200764
Abstract:
A DNA computing algorithm is proposed in this paper which uses the assembly process of DNA/Au nanoparticle conjugation to solve an NP-complete problem in the Graph theory, the Maximum Matching Problem. According to the algorithm, the special DNA/Au n...
A DNA computing algorithm is proposed in this paper which uses the assembly process of DNA/Au nanoparticle conjugation to solve an NP-complete problem in the Graph theory, the Maximum Matching Problem. According to the algorithm, the special DNA/Au n...
2021, 43(10): 2958-2966.
doi: 10.11999/JEIT200694
Abstract:
For the problem of insufficient accuracy of stereo image quality prediction, a blind stereoscopic image quality assessment model combining spatial domain and transform domain to extract quality-aware features is proposed. Firstly, the statistical fea...
For the problem of insufficient accuracy of stereo image quality prediction, a blind stereoscopic image quality assessment model combining spatial domain and transform domain to extract quality-aware features is proposed. Firstly, the statistical fea...
2021, 43(10): 2967-2975.
doi: 10.11999/JEIT200531
Abstract:
The forensics methods of DeepFake video generally use convolution neural networks. However, these methods perform poorly on hard compressed DeepFake datasets and make a large number of false detections on real data. To solve the problem above, a meth...
The forensics methods of DeepFake video generally use convolution neural networks. However, these methods perform poorly on hard compressed DeepFake datasets and make a large number of false detections on real data. To solve the problem above, a meth...
2021, 43(10): 2976-2984.
doi: 10.11999/JEIT200590
Abstract:
In view of the problems of low quality, blurred borders and excessive artifacts generated by unsupervised monocular depth estimation, a deep network encoder-decoder structure based on dense feature fusion is proposed. A Dense Feature Fusion Layer(DFF...
In view of the problems of low quality, blurred borders and excessive artifacts generated by unsupervised monocular depth estimation, a deep network encoder-decoder structure based on dense feature fusion is proposed. A Dense Feature Fusion Layer(DFF...
2021, 43(10): 2985-2992.
doi: 10.11999/JEIT200741
Abstract:
A new object contour partition model based on the fully convolutional network, combined with the idea of generative counter network and consistent attributes is proposed. Firstly, the image region partition network is used as a generator to divide th...
A new object contour partition model based on the fully convolutional network, combined with the idea of generative counter network and consistent attributes is proposed. Firstly, the image region partition network is used as a generator to divide th...
2021, 43(10): 2993-3000.
doi: 10.11999/JEIT200964
Abstract:
This paper proposes a Behavior Delayed Sharing Network (BDSN) model to solve the personalized product recommendation problem based on personal historical browsing behaviors. First, a Behavior Delay Gated Recurrent Neural Unit (BDGRU) is presented, wh...
This paper proposes a Behavior Delayed Sharing Network (BDSN) model to solve the personalized product recommendation problem based on personal historical browsing behaviors. First, a Behavior Delay Gated Recurrent Neural Unit (BDGRU) is presented, wh...
2021, 43(10): 3001-3009.
doi: 10.11999/JEIT200821
Abstract:
Optimal granularity selection is one of the hotspots in the research of sequential three-way decisions. It aims to solve complex problems through reasonable granularity selection. At present, in the field of optimal granularity selection, cost sensit...
Optimal granularity selection is one of the hotspots in the research of sequential three-way decisions. It aims to solve complex problems through reasonable granularity selection. At present, in the field of optimal granularity selection, cost sensit...
2021, 43(10): 3010-3017.
doi: 10.11999/JEIT200904
Abstract:
Because single mode ElectroCardioGraph (ECG) and PhotoPlethysmoGraph(PPG) existed problem with the low recognition accuracy, not considering intra-class correlation, this paper proposes a recognition method based on the Discriminant Correlation Analy...
Because single mode ElectroCardioGraph (ECG) and PhotoPlethysmoGraph(PPG) existed problem with the low recognition accuracy, not considering intra-class correlation, this paper proposes a recognition method based on the Discriminant Correlation Analy...
2021, 43(10): 3018-3027.
doi: 10.11999/JEIT200774
Abstract:
The accurate classification of ElectroCardioGram (ECG) signals is essential for the automatic diagnosis of heart disease. In order to realize the intelligent classification of arrhythmia, an accurate classification method based on wavelet decompositi...
The accurate classification of ElectroCardioGram (ECG) signals is essential for the automatic diagnosis of heart disease. In order to realize the intelligent classification of arrhythmia, an accurate classification method based on wavelet decompositi...
2021, 43(10): 3028-3034.
doi: 10.11999/JEIT200615
Abstract:
Feature selection is an essential step in the data preprocessing phase in the fields of machine learning, natural language processing and data mining. In some feature selection algorithms based on information theory, there is a problem that choosing ...
Feature selection is an essential step in the data preprocessing phase in the fields of machine learning, natural language processing and data mining. In some feature selection algorithms based on information theory, there is a problem that choosing ...
2021, 43(10): 3035-3042.
doi: 10.11999/JEIT200510
Abstract:
With the current development of mobile terminal devices and the popularity of 5G technology, there is an increasing demand for mobile group intelligence awareness. However, the current distribution methods for sensing tasks still suffer from ineffici...
With the current development of mobile terminal devices and the popularity of 5G technology, there is an increasing demand for mobile group intelligence awareness. However, the current distribution methods for sensing tasks still suffer from ineffici...
2021, 43(10): 3043-3049.
doi: 10.11999/JEIT200623
Abstract:
In order to quickly and accurately suppress the howling effect in hearing aids, this paper presents an analytical design of all-phase Finite Impulse Response(FIR) notch filter with explicit controllable center frequency. Firstly, to obtain the higher...
In order to quickly and accurately suppress the howling effect in hearing aids, this paper presents an analytical design of all-phase Finite Impulse Response(FIR) notch filter with explicit controllable center frequency. Firstly, to obtain the higher...
2021, 43(10): 3050-3057.
doi: 10.11999/JEIT200874
Abstract:
A hybrid multi-level hardware Trojan detection method based on XGBoost algorithm is proposed for the problem of hardware Trojans implanted by malicious third-party manufacturers. The detection method treats each wire in gate-level netlist as a node a...
A hybrid multi-level hardware Trojan detection method based on XGBoost algorithm is proposed for the problem of hardware Trojans implanted by malicious third-party manufacturers. The detection method treats each wire in gate-level netlist as a node a...
2021, 43(10): 3058-3067.
doi: 10.11999/JEIT210087
Abstract:
Developing new active substance composition system and its preparation method to enhance scandate cathode’s emission property is a hotspot in the research field of thermionic cathode especially high-emission cathode. A novel highly active impregnant ...
Developing new active substance composition system and its preparation method to enhance scandate cathode’s emission property is a hotspot in the research field of thermionic cathode especially high-emission cathode. A novel highly active impregnant ...
2021, 43(10): 3068-3074.
doi: 10.11999/JEIT200571
Abstract:
Electrostatic field measurement is the most direct method to detect whether an object carries excessive static charge. Traditional electrostatic meters mainly rely on fixed distance measurement. While the measured object is difficult to maintain stil...
Electrostatic field measurement is the most direct method to detect whether an object carries excessive static charge. Traditional electrostatic meters mainly rely on fixed distance measurement. While the measured object is difficult to maintain stil...
