Spectral Efficient Blind Channel Estimation Technique for MIMO-OFDM Communications
| Autor: | Sangeeta Jadhav, Renuka Bhandari |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Computer science
business.industry MIMO 020302 automobile design & engineering Higher-order statistics Independent component analysis MIMO-OFDM 02 engineering and technology Spectral efficiency Error rates 0203 mechanical engineering Single antenna interference cancellation Interference (communication) Blind channel estimation Electronic engineering Wireless Interference business Computer Science::Information Theory Communication channel |
| Zdroj: | International Journal of Advances in Applied Sciences. 7:286 |
| ISSN: | 2252-8814 |
| DOI: | 10.11591/ijaas.v7.i3.pp286-297 |
| Popis: | With emerge of increasing research in the domain of future wireless communications, massive MIMO (multiple inputs multiple outputs) attracted most of researchers interests. Massive MIMO is high-speed wireless communication standards. A channel estimation technology plays the essential role in the MIMO systems. Efficient channel estimation leads to spectral efficient wireless communications. The critics of Inter-Symbol Interference (ISI) are the challenging tasks while designing the channel estimation methods. To mitigate the challenges of ISI, we proposed the novel blind channel estimation method which based on Independent component analysis (ICA) in this paper. Proposed channel estimation it works for both blind interference cancellation and ISI cancellation. The proposed Hybrid ICA (HICA) method depends on pulse shape filtering and ambiguity removal to improve the spectral efficiency and reliability for MIMO communications. The Kurtosis operation is used to measure the complex data at first to estimate the common signals. Then we exploited the advantages of 3rd and 4th order Higher Order Statistics (HOS) to priorities the common signals during the channel estimation. In this paper, we present the detailed design and evaluation of HICA blind channel estimation method. We showed the simulation results of HICA against the state-of-art techniques for channel estimation using BER, MSE, and PAPR. |
| Databáze: | OpenAIRE |
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