Comparison of various equalization techniques for MIMO system under different fading channels

Jain, Aishwary; Shukla, Pankaj; Tharani, Lokesh

doi:10.1109/cesys.2017.8321216

Cited by 5 publications

(4 citation statements)

References 7 publications

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“…Efficiency of the system is majorly affected by wireless channel impairments such as fading, inter-symbol interference and different types of noises. In order to overcome the above disadvantages, the author at [14] proposed MIMO technology which uses the concept of multipath propagation under four different equalization methods. In order to improve the factors like channel capacity, bit error rate and gain, a new technique named multiple access differential noise shift keying is proposed in [15].…”

Section: Literature Surveymentioning

confidence: 99%

BER Performance Comparison Between Different Combinations of STBC and DCSK of Independent Samples and Bits of Message Signal

Sudha

2021

Mobile Computing and Sustainable Informatics

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In recent times, Chaos communication plays a significant role in addressing the security challenges that are more common in the regular communication systems. By exploiting the chaotic waveform properties, variety of chaos-based communication systems are proposed. Considering the aforementioned facets of communication, this research objective at merging the space-time block code (STBC) and orthogonal differential chaos shift keying (ODCSK) methods to improve the security aspects of multiple-input multiple-output (MIMO) based wireless system. Chaos signal is created by using the method called logistic mapping to achieve better secrecy. STBC method is used during the modulation stage for arranging the chaos signal. This system with different types of STBCs is aimed at analysing the differential chaos shift keying (DCSK) and orthogonal DCSK (ODCSK) modulation in AWGN channel. MATLAB software is used to simulate the Bit Error Rate [BER]. Initial simulation proves that the combination of orthogonal DCSK and Alamouti STBC with MIMO system gives better results for AWGN channel when compared to other combinations.

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Section: Literature Surveymentioning

confidence: 99%

BER Performance Comparison Between Different Combinations of STBC and DCSK of Independent Samples and Bits of Message Signal

Sudha

2021

Mobile Computing and Sustainable Informatics

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“…SC-FDMA-STBC reduces the particular limitations that came across the technique of OFDM-STBC. Jain and Nandal [20] analyzed and compared the performance of channel estimation of MIMO communication systems using STBC, SFBC, and STFBC techniques under various fading channels. The performance is evaluated through a number simulations using MATLab.…”

Section: Literature Reviewmentioning

confidence: 99%

Comparing Various Channel Estimation Techniques for OFDM Systems Using MATLAB

Mohammed¹

2019

IJWMN

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This paper compares the performance of various channel estimation techniques for OFDM systems over quasi-static channels using MATLab. It compares the performance of five channel estimation techniques, these are: decision directed (DD), linear interpolation, second-order interpolation, discrete Fourier transform (DFT) interpolation, minimum mean square error (MMSE) interpolation. The performance is evaluated in terms of two widely-used performance measures, namely, bit-error rate (BER) and the mean square error (MSE) for different levels of signal-to-noise ratio (SNR). The OFDM model is explained and implemented using MATLab to run different simulations. The simulation results demonstrate that the DD channel estimation provides the lowest BER and MSE as compared to interpolation techniques, at the cost of extra processing delay and comparatively sensitive to channel variations between OFDM symbols. Also, the MMSE interpolation outperforms all other interpolation techniques.

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“…Jain and Nandal [22] analyzed and compared the performance of channel estimation of MIMO communication systems using STBC, SFBC, and STFBC techniques under various fading channels. The performance is evaluated through a number simulations using MATLab.…”

Section: Reddy and Lakshmimentioning

confidence: 99%

Untitled

2019

IJMNCT

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This paper simulates and investigates the performance of four widely-used channel estimation techniques for MIMO-OFDM wireless communication systems; namely, super imposed pilot (SIP), comb-type, spacetime block coding (STBC), and space-frequency block coding (SFBC) techniques. The performance is evaluated through a number of MATLab simulations, where the bit-error rate (BER) and the mean square error (MSE) are estimated and compared for different levels of signal-to-noise ratio (SNR). The simulation results demonstrate that the comb-type channel estimation and the SIP techniques overwhelmed the performance of the STFC and STBC techniques in terms of both bit-error rate (BER) and mean square error (MSE).

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Comparison of various equalization techniques for MIMO system under different fading channels

Cited by 5 publications

References 7 publications

BER Performance Comparison Between Different Combinations of STBC and DCSK of Independent Samples and Bits of Message Signal

BER Performance Comparison Between Different Combinations of STBC and DCSK of Independent Samples and Bits of Message Signal

Comparing Various Channel Estimation Techniques for OFDM Systems Using MATLAB

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