Spectral Efficient Blind Channel Estimation Technique for MIMO-OFDM Communications

Abstract

<p><em>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.</em><em></em></p>

Blind Channel Estimation Using Enhanced Independent Component Analysis for MIMO-OFDM System

“…An operative calculation of possibility is roughly comprehensive for a high-level environment that is formulated as Eq. (5).…”

“…MUD needs to distinguish the images of all clients at the same time. In recent years, remote communication turns into the most encouraging field due to late imaginative procedures for future communication of customer items [5]. To accomplish future proficient correspondence, inventive methods are required for different applications and ensure that the right work is utilized for applications that will be utilized by the clients in the future.…”

Evaluation of different quantization resolution levels on the BER performance of massive MIMO systems under different operating scenarios

“…In addition, the SE improved when using 1 bit-quantization resolution levels ADCs with an increase in the number of antennas at the base station. In [24], the authors proposed a novel hybrid independent component analysis (HICA) signal symbols detector in order to improve the SE and reliability of the MIMO system under different operating scenarios. Their results showed that the HICA signal symbols detector showed improvement in the BER and MSE performances, but it was inefficient and failed to reduce the peak to average power rate (PAPR) rate compared to other state-of-the-art signal symbols detectors such as ICA and wavelet denoising ICA (WDICA).…”

Performance enhancement of audio transmission based on LMMSE method

“…With the developing of the technology and growing the number of the users as well as increase their demands for high speed of internet services and the wireless multimedia providing such as audio, image ...etc lead to rising the efforts to mitigate these limitations through developing the wireless communication system [1][2][3]. In addition, there are different challenges facing the wireless communication system especially at the receiver ends such as channel fading, interference and other channel noise phenomena [4,5].…”