Analysis of Compensation Network in a Correlated-based Channel using Angle of Arrivals
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2016, Vol 7, Issue 9
Abstract
We explore combined effect of spatial correlation and mutual coupling matrix, and its subsequent effects on performance of multiple input multiple output (MIMO) systems After the decoupling process. We will also look at a correlation based stochastic channel model with the linear antenna arrays as the signal source. For the purpose of understanding, it is assumed that fading is correlated at both transmitter and receiver sides, in spite of the fact that the decoupling network enhances isolation between Receiving antenna array. In this paper, we model the transmit the antenna array in CST Microwave Studio, as a uniform linear Array with monopoles as antenna elements. On the receiving side, the scattering parameters of the coupled and decoupled monopole Array are measured in an anechoic chamber. The theoretical analysis and simulation results show the joint dependency of the system capacity on an angle of arrival (AoA) and antenna element spacing, with enhanced system performance at reduced AoAs with Increased antenna element separation. Consequently, essential benefits of MIMO system performance can be achieved with an efficient decoupling network while boosting the signal sources by adding further antenna elements.
Authors and Affiliations
Affum Ampoma, Paul Anane, Obour Agyekum Kwame O. -B, Maxwell Afriyie
Keywords
Related Articles
- EP ID EP123413
- DOI 10.14569/IJACSA.2016.070942
- Views 82
- Downloads 0
Regression Test-Selection Technique Using Component Model Based Modification: Code to Test Traceability
Regression testing is a safeguarding procedure to validate and verify adapted software, and guarantee that no errors have emerged. However, regression testing is very costly when testers need to re-execute all the test c...
Review of Prediction of Disease Trends using Big Data Analytics
Big Data technologies promise to have a transformative impact in healthcare, public health, and medical research, among other application areas. Several intelligent machine learning techniques were designed and used to p...
Computational Model for the Generalised Dispersion of Synovial Fluid
The metabolic function of synovial fluid is important to understand normal and abnormal synovial joint motion, especially if one seeks some leading causes of the degenerative joint disease. The concentration of hyaluroni...
Real-Time Experimentation and Analysis of Wifi Spectrum Utilization in Microwave Oven Noisy Environment
The demand for broadband wireless communication in home and office has been increasing exponentially; thus, the need for reliable and effective communication is very crucial. Both theoretical and experimental investigati...
Design of Miniaturized Multiband Microstrip Patch Antenna using Defected Ground Structure
The recent developments in communication and antenna engineering demands compact and multiband antennas. Microstrip antenna is one of the most useful antennas for wireless communication because of its inherent features l...