Performance analysis of MIMO-STBC systems with higher coding rate using adaptive semiblind channel estimation scheme
1Department of Electronics & Communication Engineering, Jaypee University of Engineering & Technology, A.B. Road, Raghogarh, Guna, Madhya Pradesh 473226, India.
Thescientificworldjournal
|April 2, 2014
Summary
Semiblind channel estimation using Multiple-Input Multiple-Output (MIMO) systems enhances data rates and transmission range. This method offers a superior balance of bandwidth, complexity, and latency, even with correlated antenna arrays.
Area of Science:
- Wireless communication systems
- Signal processing
Background:
- Multiple-Input Multiple-Output (MIMO) systems offer improved data rates and transmission range.
- Semiblind channel estimation presents a balance between bandwidth overhead, computational complexity, and latency.
Purpose of the Study:
- To analyze diversity coding techniques in MIMO systems.
- To evaluate space-time block codes (STBCs) with higher code rates in a semiblind environment.
Main Methods:
- Simulation of STBCs with higher code rates using various modulation schemes in MATLAB.
- Comparison of simulated results in a semiblind environment against known channel state information (CSI).
Main Results:
- The proposed higher code rate STBCs demonstrate performance improvements in semiblind MIMO systems.
- Performance gains are observed even with highly correlated antenna arrays.
- Results closely approach the performance achieved when CSI is known.
Conclusions:
- Semiblind channel estimation with advanced STBCs provides a practical approach for enhancing MIMO system performance.
- This technique offers significant advantages without requiring additional bandwidth or transmit power.
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