PROJECTS

Research Contents

Research Contents

PROJECTS > Research Contents

2-4 Low power wireless communication and location-based service platform

Participants
TOPIC 1 : Low power W-band UWB Radar Sensor on a Chip in CMOS process
Participants
  • Songcheol Hong, KAIST (Electrical Engineering)
Purpose
  • Development of low power W-band UWB Radar Sensor on a chip using CMOS process
  • Design of 1-D Radar Sensor with high range resolution and high range accuracy
  • Realization of 2-D or 3-D image detection Radar Sensor by using Radar Array
Research Contents
  • Researches on W-band UWB Radar front-end for ultra-low power system
    - Radar front-end architecture with low average power consumption using sub-harmonic RF blocks
    - Time-gated operation of PA and SHPF to reduce wasted power consumption at rest time
    - Development of a UWB radar for 1-D range detection with a range resolution of 10 cm and a range accuracy of 1 cm
  • Development of high integrated W-band UWB Radar on a chip using CMOS process and bi-static Radar Sensor module
    - Development of a chip by integrating the transmitter, the receiver and the digital circuits
    - Bi-static UWB radar system packaging method with antennas and controller to control the operation of the Radar







  • Researches on UWB radar systems for various applications
    - Development of MIMO algorithms and a radar module using radar array for 2-D or 3-D image detection with high accuracy

Expected Contribution
  • Realization of the 3-D image information detection radar Sensor On a Chip (SoC)
  • Good alternative solution in the near-future of radar markets due to its cost-efficiency and highly integration
  • Significant impact on various applications such as vehicular radars, robot vision systems, medical image sensors and networking systems
TOPIC 2 : Low Power Wireless Transceiver Circuit Platform
Participants
  • Sang-Gug Lee, KAIST (Electrical Engineering)
Purpose
  • Ultra-low-power wake-up radio development
Research Contents
  • Ultra-low-power wake-up and radio development
    - Multi-channel low-power wake-up receiver
    - High-efficiency high-output-power wake-up radio transmitter
    - ully integrated single-chip wake-up radio transceiver

Expected Contribution
  • The wake-up radio can be combined with various main sensor node transceivers based on ZigBee, WPAN, and WBAN standards to prolong battery lifetime by reducing the average power consumption for wireless communication to the extreme.
TOPIC 3 : Low power, High performance IoT Networking Solution
Participants
  • Yi Yung, KAIST (Electrical Engineering)
  • Sae-Young Chung, KAIST (Electrical Engineering)
Purpose
  • Network coding for low-power sensor networks
  • Low power IoT networking solution
  • Real-time video streaming in multi-hop wireless networks
Research Contents
  • Network coding for low-power sensor networks
    - Interference management for sensor networks
    - Relaying for networks with many nodes
    - Network coding algorithm for lower-power sensor networks
    - Network coding algorithm for nodes with high mobility
    - Large-scale sensor network testbed consisting of tens of nodes
  • Low power IoT networking solution
    - Networking module for periodic monitoring sensor application
    - Low power time synchronization and scheduling protocol
  • Real-time video streaming in multi-hop wireless networks
    - Link scheduling for optimal energy efficiency
    - Multi-hop transmission for video surveillance sensors
    - Improvement of 802.11 DCF algorithm

Expected Contribution
  • The protocols, algorithms, and platforms can play key roles in future wireless sensor networks requiring low energy consumption and low delay.
  • Applying IoT networking solution to structural health monitoring for bridge and building.
  • The smart video sensor networks can prevent crimes by monitoring residential areas and streets as well as provide secure and reliable social infra for controling illegal parking, arresting criminals, and finding missing children.
TOPIC 4 : Crowdsourced radio map construction automation system
Participants
  • Dongsoo Han, KAIST (Computer Science)
Purpose
  • Development of a platform for crowdsourced radio map construction.
  • Development of an unsupervised learning-based radio map construction method.
Research Contents
  • Development of a support tool for crowdsourced radio map construction.
  • HMM modeling automation based on Lloyd’s relaxation method
  • WLAN fingerprint clustering & classification method using address information
  • Unsupervised learning-based location-labeling method for crowdsourced fingerprints
  • Design of unsupervised learning method for large-scale data processing using hybrid global-local optimization framework
  • Configuration of positioning algorithm mapping for the characteristics of the radio map

Expected Contribution
  • Building a platform for developing various location-based services.
  • Realize the global indoor positioning system through cost reduction of radio map construction.
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