scholarly journals Information Processing Methods of Electronic Warfare Events Based on Communication Technology

2022 ◽  
Vol 2022 ◽  
pp. 1-11
Author(s):  
Hongyan Mao
Keyword(s):  
Communication Technology ◽  
Digital Signal ◽  
Recall Rate ◽  
Complex Signal ◽  
Electronic Warfare ◽  
Communication Signals ◽  
Electronic Countermeasure ◽  
Signal Environment ◽  
Modulation Methods ◽  
Accuracy And Stability

Traditional electronic countermeasure incident intelligence processing has problems such as low accuracy and stability and long processing time. A method of electronic countermeasure incident intelligence processing based on communication technology is proposed. First, use the integrated digital signal receiver to identify various modulation methods in the complex signal environment to facilitate the processing and transmission of communication signals, then establish an electronic countermeasure intelligence processing framework with Esper as the core, and flow the situation to the processing conclusion through the PROTOBUF interactive format Redis cache. The data can realize the intelligent processing of electronic countermeasure incidents. The experimental results show that the method proposed in this paper increases the recall rate by 5 to 20% compared with other methods. This method has high accuracy and stability for electronic countermeasure incident intelligence processing and can effectively shorten the time for electronic countermeasure incident intelligence processing.

Research on Communication Reconnaissance Information Processing and Fusion

2014 ◽  
Vol 552 ◽  
pp. 359-362
Author(s):  
Hong Wei Quan ◽  
Dong Liang Peng
Keyword(s):  
Information Fusion ◽  
Electromagnetic Signal ◽  
Electromagnetic Spectrum ◽  
Simulation Environment ◽  
Characteristic Parameters ◽  
Communication Signals ◽  
Time Frequency ◽  
Blackboard Model ◽  
Processing Data ◽  
Signal Environment

In complex electromagnetic signal environment, the reconnaissance equipments in tactical communication system can uninterruptedly reconnoiter a variety of enemy’s communication signals as well as access a number of characteristic parameters of time, frequency and space domain by searching analysis, feature extraction, direction finding and comprehensive identification. After a series of signal processing, data mining and information fusion, we can get the characteristic parameters of the electromagnetic spectrum of the enemy’s reconnaissance equipments, which provide the basis for analysis and estimation of electromagnetic situation in battlefield. In this paper a multi-hierarchical blackboard model is proposed for multi-sources communication reconnaissance information mining and fusion and the effectiveness of the method is validated in simulation environment.

Delta-Sigma Digital-to-Time Converter for Band-Select Spread Spectrum Clock

2015 ◽  
Vol 643 ◽  
pp. 79-91 ◽  
Author(s):  
Ramin Khatami ◽  
Haruo Kobayashi ◽  
Yasunori Kobori
Keyword(s):  
Spread Spectrum ◽  
Digital Signal ◽  
Noise Spectrum ◽  
Digital Circuit ◽  
Clock Frequency ◽  
Clock Generation ◽  
Delta Sigma ◽  
Fm Radio ◽  
Modulation Methods ◽  
Spectrum Spread

This paper proposes an innovative method of converting digital signal to time-domain analog signal, which fully enjoys robustness and digital circuit friendliness. This technique utilizes a digital delta-sigma ( ) modulator following a digital-to-time converter (DTC) circuit with various modulation methods. As an application of the proposed method, novel spreadspectrum clock generation (SSCG) algorithms (such as for DC-DC converters) have been investigated which can select the noise spectrum spread bands; e.g., they can exclude the noisespectrum spread in AM, FM radio bands. The proposed circuit takes advantage of digital technology, which is simple, fast (reachable at high clock frequency) and flexible (programmable).

Computationally Efficient TDOA/FDOA Estimation for Unknown Communication Signals in Electronic Warfare Systems

2018 ◽  
Vol 54 (1) ◽  
pp. 77-89 ◽  
Author(s):  
Dong-Gyu Kim ◽  
Geun-Ho Park ◽  
Hyoung-Nam Kim ◽  
Jin-Oh Park ◽  
Young-Mi Park ◽  
...  
Keyword(s):  
Computationally Efficient ◽  
Electronic Warfare ◽  
Communication Signals

A New Blind Source Separation Algorithm in Application of Over-Determined Mode under Lower SNR

2010 ◽  
Vol 139-141 ◽  
pp. 2132-2135
Author(s):  
Ping Wang ◽  
Jian Chen ◽  
Ji Xiang Lu
Keyword(s):  
Time Delay ◽  
Order Statistics ◽  
Blind Source Separation ◽  
Correlation Matrix ◽  
Second Order ◽  
Blind Identification ◽  
Separation Algorithm ◽  
Communication Signals ◽  
Second Order Statistics ◽  
Modulation Methods

The paper proposes a new BSS algorithm based on the second-order statistics. By jointly diagonalizing the time delay correlation matrix of the observed signals and using the improved new non-orthogonal joint diagonalization (NOJD) method, a better solution is achieved. The proposed algorithm can successfully separate communication signals under SNR as low as 10dB and the over-determined mode regardless of the signals’ modulation methods. Signal to Interference Noise Ratio (SINR) is used to prove the superiority of the proposed algorithm over the classical Second-Order Blind Identification (SOBI).

A NEW TECHNIQUE FOR CLASSIFICATION OF DIGITAL SIGNAL TYPES

2008 ◽  
Vol 17 (05) ◽  
pp. 957-971
Author(s):  
ATAOLLAH EBRAHIMZADEH ◽  
ABOLFAZL RANJBAR ◽  
MEHRDAD ARDEBLILPOUR
Keyword(s):  
High Performance ◽  
Cross Validation ◽  
Digital Signal ◽  
Higher Order ◽  
New Technique ◽  
Communication Signals ◽  
Communication Signal ◽  
A New Technique ◽  
Fold Cross Validation

Classification of the communication signals has seen under increasing demands. In this paper, we present a new technique that identifies a variety of digital communication signal types. This technique utilizes a radial basis function neural network (RBFN) as the classifier. Swarm intelligence, as an evolutionary algorithm, is used to construct RBFN. A combination of the higher-order moments and the higher-order cumulants up to eight are selected as the features of the considered digital signal types. In conjunction with RBFN, we have used k-fold cross-validation to improve the generalization potentiality. Simulation results show that the proposed technique has high performance for classification of different communication signals even at very low signal-to-noise ratios.

scholarly journals Analog to Digital Converters (ADC): A Literature Review

2020 ◽  
Vol 184 ◽  
pp. 01025
Author(s):  
Hemlata Dalmia ◽  
Sanjeet K. Sinha
Keyword(s):  
Signal Processing ◽  
Low Power ◽  
Communication Technology ◽  
High Performance ◽  
Reducing Power ◽  
Digital Signal ◽  
Analog To Digital Converters ◽  
Analog To Digital ◽  
Cmos Scaling ◽  
Analog To Digital Conversion

The signal processing is advancing day by day as its needs and in wireline/wireless communication technology from 2G to 4G cellular communication technology with CMOS scaling process. In this context the high-performance ADCs, analog to digital converters have snatched the attention in the field of digital signal processing. The primary emphasis is on low power approaches to circuits, algorithms and architectures that apply to wireless systems. Different techniques are used for reducing power consumption by using low power supply, reduced threshold voltage, scaling of transistors, etc. In this paper, we have discussed the different types and different techniques used for analog to digital conversion of signals considering several parameters.

Development of Digital Signal Receiving Equipment for Electronic Warfare

2020 ◽  
Vol 57 (12) ◽  
pp. 14-21
Author(s):  
Sunghoon Kim ◽  
Hyeokjae Choi ◽  
Jaeyun Kim ◽  
Byungjin Moon ◽  
Jonghyun Lee
Keyword(s):  
Digital Signal ◽  
Electronic Warfare

Frequency-Hopping Communication Technology Based on Self-Adaptive MIMO-OFDM System

2014 ◽  
Vol 945-949 ◽  
pp. 2230-2236
Author(s):  
Jin Xin Ruan ◽  
Yan Xu ◽  
Miao Cui
Keyword(s):  
Communication Technology ◽  
Data Transmission ◽  
Transmission Rate ◽  
Frequency Hopping ◽  
Ofdm System ◽  
Time Data ◽  
Electronic Warfare ◽  
Data Transmission Rate ◽  
Mimo Ofdm ◽  
Self Adaptive

Along with the gradual increase of intelligent and information equipment on the battlefield, the fierce electronic warfare between the enemy and us makes the electromagnetic environment of the battlefield more and more severe. The anti-jamming capability of conventional frequency-hopping communication system is inadequate such as anti-dynamic interference, anti-intercept, etc., thus posing a serious threat to normal military communication. Moreover, currently the data transmission rate of frequency-hopping system is fairly lower, and cannot meet the increasing large-capacity real-time data transmission requirements. This article deeply researches self-adaptive MIMO-OFDM technology and frequency-hopping communication technology, and introduces the research on frequency-hopping communication technology based on self-adaptive MIMO-OFDM system. The research shows that self-adaptive MIMO-OFDM-based technology can effectively enhance the frequency-hopping communication system’s anti-jamming and anti-intercepting capability, and improve the data transmission rate.

Performance of HD Radio System

2014 ◽  
Vol 678 ◽  
pp. 477-481
Author(s):  
Jin Ren
Keyword(s):  
Communication Technology ◽  
Digital Signal ◽  
Transmission Network ◽  
Channel System ◽  
Digital Radio ◽  
Radio System ◽  
Coherent Demodulation ◽  
Digital Services ◽  
Hd Radio ◽  
Analog Communication

The advance of wireless communications brings in various schemes of wireless digital communication technology. Analog communication and broadcasting services convert into digital services in many countries. The IBOC (In-Band On-Channel) system has been developed to work in the same band with the conventional analog radio and broadcasting digital signal simultaneously. HDR (HD-Radio) standard of IBOC (In-Band-On-Channel) can use coherent demodulation using pilot sub-carriers. In this paper, the performance of HD radio system is evaluated. To contribute to decision of digital radio standard and design of digital radio transmission network, the simulation results will give a help.

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