Research Themes
- Compressed Sensing Based Detection of Localized Heavy Rain using Microwave Network Attenuation
- MIMO-OFDM with ESPAR antenna
- Compensation of MIMO-OFDM Radio Signal Distortion in Radio over Fiber- Distributed Antenna System using optical TDM
- A Study on Vehicle Speed Detection System using Leaky Coaxial Cable antenna
- OSTBC in Multiple Polarized MIMO-OFDM Systems
- Low Complexity Channel Estimation based on Compressive Sensing for OFDM Systems
- Modified Matching Pursuit Based Channel Estimation for ISDB-T
- Improving Detection Accuracy using Subspace Method in LCX Based Positioning System of Radio Terminals
- MIMO-OFDM with ESPAR antenna
- Compensation of MIMO-OFDM Radio Signal Distortion in Radio over Fiber- Distributed Antenna System using optical TDM
- A Study on Vehicle Speed Detection System using Leaky Coaxial Cable antenna
- OSTBC in Multiple Polarized MIMO-OFDM Systems
- Low Complexity Channel Estimation based on Compressive Sensing for OFDM Systems
- Modified Matching Pursuit Based Channel Estimation for ISDB-T
- Improving Detection Accuracy using Subspace Method in LCX Based Positioning System of Radio Terminals
- Sensing
- Particle Filter-Assisted Positioning Method for Identifying RFID-Tag Implanted in the Organism
- Joint Estimation of Position and Gain for RFID-Tag Assisted Surgery Support System
- Joint Estimation of Position and Gain for RFID-Tag Assisted Surgery Support System
- Wireless power transmission
- Wide-area wireless power supply
Research Topic: Low Complexity Channel Estimation based on Compressive Sensing for OFDM Systems
Person in charge: Syohaku Gyu
Research Brief
Orthogonal Frequency Division Multiplexing (OFDM) is a multi-carrier modulation scheme which has been widely used in wideband digital communication systems. Recently, a novel technique called Compressive Sensing (CS) has been proposed to estimate the Channel State Information (CSI) for OFDM system, which provides an improvement of channel estimation performance even in the double-selective fading channel. However, the high computational complexity of CS restricts its implementation of practical applications. In this paper, a new method using 2-Step CS-based (2-SCS) channel estimation is proposed, which can effectively reduce the computational complexity. The Numerical results demonstrate that the proposed method gives accurate channel estimation performance for OFDM system.
PPTX
After graduation
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Lectures
Quarter IQuarter II
Quarter III
