Performance of MIMO MC-CDMA system with channel estimation equalization and relay

Tamilarasan, N.; Nithyanandan, L.

doi:10.1109/icecce.2014.7086653

Cited by 3 publications

(3 citation statements)

References 12 publications

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“…Minimum Mean Square Error Equalizer, as it name defines, minimizes the mean square error (MSE). This minimizes the total power of the noise and also the ISI components present in the output [10]. Hence it works well in not only eliminating the interference but also the also components too.…”

Section: Minimum Mean Square Error (Mmse) Equalizermentioning

confidence: 98%

Performance Analysis of Equalization Techniques for MC-CDMA Systems

Kuzhaloli¹,

Shaji.K.S²

2014

IJCA

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Nowadays in mobile communication systems, very high bit rates are very essential for transmitting the data and to provide good service for a digital network. This high bit rate leads to Inter symbol Interference (ISI) problems. MC-CDMA technique plays a major role in eliminating these interference problems. In order to compensate this ISI problem, a very effective equalization technique is required. This paper presents the performance analysis of Equalization techniques for an MC-CDMA system which uses BPSK modulation in the presence of Additive white Gaussian Noise (AWGN) over Rayleigh Fading Channel. The analysis is simulated with the help of MATLAB software.

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Section: Minimum Mean Square Error (Mmse) Equalizermentioning

confidence: 98%

Performance Analysis of Equalization Techniques for MC-CDMA Systems

Kuzhaloli¹,

Shaji.K.S²

2014

IJCA

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“…The signals that are received by the receiver suffer from Inter Symbol Interference (ISI) and Inter Carrier Interference (ICI). The equalizer is introduced at the receiver side in order to compensate for the Inter Symbol Interference in order to increase the signal to noise ratio and to reduce the bit error rate [4] [6].…”

Section: Equalization Techniquesmentioning

confidence: 99%

Comparison of equalization techniques for an MIMO MC-CDMA system

Kuzhaloli

Shaji

2015

2015 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2015]

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This paper presents the comparison of the performance analysis of various equalization techniques involved in an Multiple Input Multiple Output (MIMO) Multi-carrier (MC) Code Division Multiple Access (CDMA) system. Multiple transmitting antennas and multiple receiving antennas are used by this system. Equalization techniques considered for comparison are Zero Forcing (ZF) and Zero Forcing with Successive Interference Cancellation (ZF-SIC). This comparison is simulated for a 2*2, 2*3 and 2*4 MIMO channel and simulation is done using MATLAB software. Bit Error rate is the estimation parameter taken into consideration for determining the efficient equalization technique for an MIMO MC-CDMA system.

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“…Joint detection and channel estimation are critical to the overall system performance in ISI channels [13]. However, much of the existing studies of AF cooperative communication [14]- [19] usually supposed that the CSI is known or can be acquired by a training sequence.…”

Section: Introductionmentioning

confidence: 99%

A Partial Amplify and Forward Cooperative Communication Strategy Based on Blind Signal Detection

Zhou

Cui

et al. 2020

IEEE Access

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Due to the great potential in extending propagation distance and enhancing the link reliability, amplify and forward (AF) cooperative communications have attracted much attention recently. However, the existing studies mainly focus on the energy consumption analysis and optimization, and also the channels used in communications are based on Rayleigh/Rician fading model, and/or it was usually supposed that the channel state information (CSI) is known or can be acquired by a training sequence. In this paper, blind signal detection for AF cooperative communication systems based on time division multiple access (TDMA) is studied, in which the channels are modeled as frequency selective fading and the CSI are unknown. A blind signal detection algorithm of partial amplify and forward (PAF) cooperative communication is proposed based on semidefinite relaxation (SDR). This method can recover the data without the training sequence and need not to implement blind equalization for the unknown channels. With the correlation between data of different links, the proposed method can obtain the optimal solution efficiently and achieve better performance of signal detection than the traditional algorithm. By simulations, the energy consumption efficiency as well as the overall system performance of the proposed strategy are verified.

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Performance of MIMO MC-CDMA system with channel estimation equalization and relay

Cited by 3 publications

References 12 publications

Performance Analysis of Equalization Techniques for MC-CDMA Systems

Performance Analysis of Equalization Techniques for MC-CDMA Systems

Comparison of equalization techniques for an MIMO MC-CDMA system

A Partial Amplify and Forward Cooperative Communication Strategy Based on Blind Signal Detection

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