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Analysis of MIMO System through Zero Forcing and Minimum Mean Square Error Detection Scheme
- Source :
- 2018 9th IEEE Control and System Graduate Research Colloquium (ICSGRC).
- Publication Year :
- 2018
- Publisher :
- IEEE, 2018.
-
Abstract
- In this paper, MIMO system is used to improve the performance of transmitted signal by reducing the signal fading rate. MIMO VBLAST technique is implemented to enhance the spectral efficiency and bandwidth with spatial diversity. Multiple antennas allowed the system to transmit multiple same data signal at the same time in which the data will not fade simultaneously, hence, improving the Signal to Noise Ratio (SNR) of the system. Zero Forcing (ZF) and Minimum Mean Square Error (MMSE) detection scheme are used to minimize the effect of channel estimation errors. The simulation was carried out in MATLAB software. Based on the simulation result, the proposed scheme for MIMO VBLAST has better network throughput in term of successful message delivery performance compared to the traditional scheme.
- Subjects :
- Minimum mean square error
Computer science
05 social sciences
Bandwidth (signal processing)
MIMO
020206 networking & telecommunications
Data_CODINGANDINFORMATIONTHEORY
02 engineering and technology
Spectral efficiency
Antenna diversity
law.invention
law
0502 economics and business
0202 electrical engineering, electronic engineering, information engineering
050207 economics
Radar
MATLAB
computer
Algorithm
Computer Science::Information Theory
Phase-shift keying
computer.programming_language
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2018 9th IEEE Control and System Graduate Research Colloquium (ICSGRC)
- Accession number :
- edsair.doi...........170420eca4cb4fd3cfa3f03fbfc4050e
- Full Text :
- https://doi.org/10.1109/icsgrc.2018.8657515