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: MIMO-OFDM with ESPAR antenna
Person in charge： Diego Javier Reinoso Chisaguano
Research Brief
We have proposed a Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing (MIMO-OFDM) receiver with an Electronically Steerable Passive Array Radiator (ESPAR) antenna that can improve thebit error rate (BER) performance and obtains additional diversity gain without increasing the number of Radio Frequency (RF) front-end circuits. As a first approach, a Minimum Mean Square Error (MMSE)-based channel estimator was employed to obtain the channel state information, but it introduces a considerable degradation in the BER performance because of insufficient estimation accuracy. As a second approach, we propose to use compressed sensing based channel estimation for MIMO-OFDM with ESPAR antenna. The simulation results show that using the proposed channel estimation the BER performance is improved and it is closer to the BER with perfect channel state information.
PPTX
After graduation
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Lectures
Quarter IQuarter II
Quarter III
