• Title/Summary/Keyword: Multi-Channel network

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Implementation of Multi-channel Communication System for Drone Swarms Control (군집 드론의 동시제어를 위한 멀티채널 송신 시스템 구현)

  • Lee, Seong-Ho;Han, Kyong-Ho
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.66 no.1
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    • pp.179-185
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    • 2017
  • Communication technologies hold a significant place in the swarm flight of drones for surveillance, inspection of disasters and calamities, entertainment performances, and drone collaborations. A GCS(ground control station) for the control of drone swarms needs its devoted communication method to control a large number of drones at the same time. General drone controllers control drones by connecting transmitters and drones in 1:1. When such an old communication method is employed to control many drones simultaneously, problems can emerge with the control of many transmitter modules connected to a GCS and frequency interference among them. This study implemented a transmitter controller to control many drones simultaneously with a communication chip of 2.4GHz ISM band and a Cortex M4-based board. It also designed a GCS to control many transmitter controllers via a network. The hierarchical method made it possible to control many more drones. In addition, the problem with frequency interference was resolved by implementing a time- and frequency-sharing method, controlling many drones simultaneously, and adding the frequency hopping feature. If PPM and S.BUS protocol features are added to it, it will be compatible with more diverse transmitters and drones.

Array Manifold Measurement and Verification for UCA Calibration in Multistatic PCL System based on FM Broadcasting (FM 방송 기반 멀티스태틱 PCL 시스템 원형 배열 안테나 보정을 위한 Array Manifold 측정 및 검증)

  • Park, Junsik;Shim, Hongsuk;Ahn, Junil;Song, Kyuha
    • Journal of the Korea Institute of Military Science and Technology
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    • v.24 no.2
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    • pp.165-174
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    • 2021
  • This study describes a method of measurement and verification of array manifold of uniform circular array antenna applicable to multistatic Passive Coherent Location(PCL) system using FM broadcasting. In an environment of outdoor test where FM broadcast signals are scattered, array manifold measurement methods using network analyzer and multi-channel digital receiver are introduced. Also, the descriptions and solutions for the test limits of each measurement method and the considerations affecting the measurement accuracy are presented. In addition, to verify the validity of the measured array manifold, the gain and phase difference were compared with the array manifold data obtained by EM simulation, and the effectiveness and accuracy of the measured array manifolds were compared and analyzed by estimating the direction of arrival of the FM broadcast signal received from the multistatic PCL system.

GNSS NLOS Signal Classifier with Successive Correlation Outputs using CNN

  • Sangjae, Cho;Jeong-Hoon, Kim
    • Journal of Positioning, Navigation, and Timing
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    • v.12 no.1
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    • pp.1-9
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    • 2023
  • The problem of classifying a non-line-of-sight (NLOS) signal in a multipath channel is important to improve global navigation satellite system (GNSS) positioning accuracy in urban areas. Conventional deep learning-based NLOS signal classifiers use GNSS satellite measurements such as the carrier-to-noise-density ratio (CN_0), pseudorange, and elevation angle as inputs. However, there is a computational inefficiency with use of these measurements and the NLOS signal features expressed by the measurements are limited. In this paper, we propose a Convolutional Neural Network (CNN)-based NLOS signal classifier that receives successive Auto-correlation function (ACF) outputs according to a time-series, which is the most primitive output of GNSS signal processing. We compared the proposed classifier to other DL-based NLOS signal classifiers such as a multi-layer perceptron (MLP) and Gated Recurrent Unit (GRU) to show the superiority of the proposed classifier. The results show the proposed classifier does not require the navigation data extraction stage to classify the NLOS signals, and it has been verified that it has the best detection performance among all compared classifiers, with an accuracy of up to 97%.

Trust in organizations: Conceptualization and Trends (조직내 신뢰: 개념화와 연구동향)

  • Jasook Koo
    • Korean Journal of Culture and Social Issue
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    • v.11 no.spc
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    • pp.69-83
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    • 2005
  • This paper examines the diverse conceptualizations of trust and explores the multi-level factors affecting trust in organizations. Trust in organizations can be defined as a willingness to be vulnerable to the actions of others and to take risks based on the positive expectations toward the others' intentions and behaviors. The process of building and the content of trust in organizations can vary depending on the social and cultural backgrounds in which. the organizations lie. The reengineering process toward a flatter and flexible organizational structure requires the presence of trusting relationships within organizations. Networks within organizations can function as a basis and channel of trust formation. Finally, the importance of trust in efficient leadership process was discussed.

Handoff signaling implementation using H.323 rerouting in IP-based network (IP 기반 망에서 H.323 리라우팅을 이용한 핸드오프 시그널링 구현)

  • Lee, Yeong-Sin;Choi, Gi-Moo
    • The KIPS Transactions:PartC
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    • v.8C no.6
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    • pp.821-830
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    • 2001
  • H.323 proposes to use Mobile IP and H.323 ad hoc conference signaling to provide Handoff function to a mobile terminal. But H.323 ad hoc conference signaling has a drawback. It requires an H.323 endpoint to do a complex conference signaling which makes inter-operability between H.323 endpoints difficult and takes the longer signaling time. In this paper, we propose an Handoff signaling using H.323 rerouting(Third party initiated Pause and Rerouting). H.323 rerouting signaling only requires an H.323 endpoint to do H.323 basic signaling in reestablishing media channel, and makes inter-operability more easier and provides the faster Handoff. To do this, our H.323 GK has derived H.245 control channel using tunneling for all H.323 calls including the fast connect calls which enable endpoints communicate each other if they don\`t have H.245 control channel. In order to evaluate the performance of the proposed signaling, we have conducted an experiment that compares a call transfer signaling using H.323 rerouting with ad hoc conference signaling in inter-operability and signaling delay. The results of our experiment shows that the call transfer signaling can inter-operate with four H.323 endpoints among five H.323 endpoints of other vendors and reduces the signaling delay average 1.4 sec.

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Cell Edge SINR of Multi-cell MIMO Downlink Channel (다중 셀 MIMO 하향채널의 셀 에지 SINR)

  • Park, Ju-Yong;Kim, Ki-Jung;Kim, Jeong-Su;Lee, Moon-Ho
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.15 no.4
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    • pp.105-117
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    • 2015
  • In this paper, we consider 19 cells with the two tiers for polar-rectangular coordinates (PRCs) and provide the cell edge performance of cellular networks based on distance from cell center i.e., BS (base station). When FFR is applied(or adopted) to cell edge, it is expected that BS cooperation, or a coordinated multipoint (CoMP) multiple access strategy will further improve the system performance. We proposed a new method to evaluate the sum rate capacity of the MIMO DC of multicell system. We improve the performance of cell edge users for intercell interference cancelation in cooperative downlink multicell systems. Simulation results show that the proposed scheme outperforms the reference schemes, in terms of cell edge SINR (signal-to-interference-noise ratio) with a minimal impact on the network path loss exponent. We show 13 dB improvements in cell-edge SINR by using reuse of three relative to reuse of one. BS cooperation has been proposed to mitigate the cell edge effect.

Applied Method of Energy Harvesting for Multi-Relay Environment (다중 중계기 환경에 대한 에너지 하베스팅의 적용 방안)

  • Kim, Tae-Wook;Kong, Hyung-Yun
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.14 no.6
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    • pp.69-74
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    • 2014
  • In this paper, an energy harvesting scheme is investigated in the multi-relay cooperation communication. Our proposal is to maximize the diversity gain and overcome the disadvantages of the limited power wireless devices. The best relay is selected based on the maximizing channel gains from source to relays so that the harvested energy at selected relay is best. If an internal power of the best relay is lower than a defined target power, the best relay will harvest the energy from the source, and the help of the source-destination link is changed to the second best relay. By this operation method, the diversity gain is maintained and the performance of the network is improved. Finally, performance of the proposed protocol is analyzed in terms of bit error rate, utilization efficiency, power collection efficiency.

A Study on Factors Influencing User's Satisfaction of OTT Service (OTT 서비스의 이용만족도에 영향을 미치는 요인에 관한 연구)

  • Lee, heesung;Jin, Haiyan;Hwang, HaSung
    • Journal of Internet Computing and Services
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    • v.18 no.6
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    • pp.93-100
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    • 2017
  • In multi-media, multi-channel era, video viewing using various digital devices via the Internet, not the existing broadcasting network, is emerging as a new broadcasting viewing behavior. OTT service is regarded as the main service of this change of viewing behavior. It is a video service that can seamlessly use any content desired by the user at any time, at any time, any device, any contents, if the Internet connection is available. The purpose of this study is to investigate the factors affecting the satisfaction of OTT service by applying the technology acceptance model (TAM). As a result of analyzing through 303 questionnaires of the early users of OTT service, social pressure, perceived popularity, perceived cost, user reputation, individual innovation, and esthetics set as external factors in this study are partially affects perceived usefulness, perceived ease of use, and perceived enjoyment. In addition, perceived usefulness, ease of use, and enjoyment are directly influencing satisfaction. Based on these results, we discuss the theoretical and practical implications and propose future research direction.

Hybrid ABS based Inter-Cell Scheduling Algorithms for QoS Improvement of Heterogeneous Networks (이기종 네트워크의 QoS 향상을 위한 Hybrid ABS기반 셀 간 스케줄링 알고리즘)

  • Kim, Myung-Dong;Seong, Hyeon-Kyeong
    • Journal of the Institute of Convergence Signal Processing
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    • v.17 no.1
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    • pp.1-9
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    • 2016
  • In this paper, for the improvement of quality of service(QoS) performance of heterogeneous networks, multi-cell scheduling is proposed. In order to implement the proposed algorithm, for the recognition of the impact on the throughput performance of users, macro-pico-cells that form distributed architecture were proposed. In operating heterogeneous networks, considering the centralized structure, a macro-RRH(Remote Radio Head) deployment scenario was proposed. For interference mitigation of the proposed system, by applying the optional sub-frame, through CQI(Channel Quality Indicator) measurement for each sub-frame period, constraint conditions were measured according to system situations. For the simplification, the pattern of the same ABS muting was assumed. In the above two multi-cell environments, the algorithm of high-speed load balancing maintenance was proposed.

Multi-channel Video Analysis Based on Deep Learning for Video Surveillance (보안 감시를 위한 심층학습 기반 다채널 영상 분석)

  • Park, Jang-Sik;Wiranegara, Marshall;Son, Geum-Young
    • The Journal of the Korea institute of electronic communication sciences
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    • v.13 no.6
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    • pp.1263-1268
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    • 2018
  • In this paper, a video analysis is proposed to implement video surveillance system with deep learning object detection and probabilistic data association filter for tracking multiple objects, and suggests its implementation using GPU. The proposed video analysis technique involves object detection and object tracking sequentially. The deep learning network architecture uses ResNet for object detection and applies probabilistic data association filter for multiple objects tracking. The proposed video analysis technique can be used to detect intruders illegally trespassing any restricted area or to count the number of people entering a specified area. As a results of simulations and experiments, 48 channels of videos can be analyzed at a speed of about 27 fps and real-time video analysis is possible through RTSP protocol.