Bit Error Rate Approximation of MIMO-OFDM Systems with Carrier Frequency Offset and Channel Estimation Errors

Zhang, Zhongshan; Zhang, Lu; You, Mingli; Lei, Ming

doi:10.1155/2010/176083

Cited by 6 publications

(10 citation statements)

References 27 publications

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“…The optimal pilot for channel estimation can be used for frequency offset estimation by setting ϑ k = J p (k − 1) for each k. Eqs. (11) and (16) also show that the optimal pilots for both estimations should be uniformly placed in the frequency-domain.…”

Section: Optimal Pilot Design For Ls Channel Estimationmentioning

confidence: 93%

“…From (A8)-(A10) in [16], for a conditionally unbiased estimator, the variance error ofε k is derived as…”

Section: Estimation Of ε K Based Onν Kmentioning

confidence: 99%

“…The BER analysis of OFDM in the presence of frequency offset and channel estimation errors has been presented in [16][17][18]. In this section, the BER performance for the OFDM modulated SFN with both the frequency offset and channel errors being considered.…”

Section: Ber Analysismentioning

confidence: 99%

See 2 more Smart Citations

Optimal pilots design for frequency offsets and channel estimation in OFDM modulated single frequency networks

Zhang

et al. 2014

Sci. China Inf. Sci.

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ML integer frequency offset estimation for OFDM systems with null subcarriers: Estimation range and pilot design SCIENCE CHINA Information Sciences 53, 2567 (2010); Design, modeling and experimental investigation of a magnetically modulated rotational energy harvester for low frequency and irregular vibration SCIENCE CHINA Technological Sciences Space-frequency channel pairing and power allocation for OFDM-based multi-pair two-way relay wireless networks SCIENTIA SINICA Informationis 45, 878 (2015); Pareto optimal time-frequency resource allocation for selfish wireless cooperative multicast networks SCIENCE CHINA Information Sciences 56, 122306 (2013);. RESEARCH PAPER .

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Section: Optimal Pilot Design For Ls Channel Estimationmentioning

confidence: 93%

“…From (A8)-(A10) in [16], for a conditionally unbiased estimator, the variance error ofε k is derived as…”

Section: Estimation Of ε K Based Onν Kmentioning

confidence: 99%

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Optimal pilots design for frequency offsets and channel estimation in OFDM modulated single frequency networks

Zhang

et al. 2014

Sci. China Inf. Sci.

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“…This was a subtle improvement over the OMP algorithm and shows that SaMP performs better than OMP and its derivatives. The various derivatives of SaMP algorithms are proposed in the previous studies . The catch with SaMP is that performance and computational cost are directly related to the initial step size considered.…”

Section: Introductionmentioning

confidence: 99%

Compressed sensing channel estimation for STBC‐SM based hybrid MIMO‐OFDM system for visible light communication

Manur

Ali

2020

Int J Communication

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Summary This paper presents the idea of sparse channel estimation using compressed sensing (CS) method for space–time block coding (STBC), and spatially multiplexing (SM) derived hybrid multiple‐input multiple‐output (MIMO) Asymmetrically clipped optical‐orthogonal frequency division multiplexing (ACO‐OFDM) optical wireless communication system. This hybrid system accounts multiplexing gain of SM and diversity gain of STBC technique. We present a new variant of sparsity adaptive matching pursuit (SaMP) algorithm called dynamic step‐size SaMP (DSS‐SaMP) algorithm. It makes use of the inherent and implicit structure of SaMP, along with dynamic adaptivity of step‐size feature which is compatible with the energy of the input signal, thus the name dynamic step size. Existing CS‐based recovery algorithms like orthogonal matching pursuit, SaMP, adaptive step‐size SaMP, and proposed DSS‐SaMP were compared for hybrid MIMO‐ACO‐OFDM visible light communication system. The performance analysis is demonstrated through simulation results with respect to bit error rate, symbol error rate, mean square error, computational complexity, and peak‐to‐average power ratio. Simulation results show that the proposed technique gives improved performance and lesser computational complexity in comparison with conventional estimation algorithms.

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“…In Reference [8], the probability of error for a space-time spreading scheme in the CDMA system operating in Nakagami-m fast-fading channels using a decorrelator detector and BPSK modulation has been derived, for MIMO systems with two transmit and L receive antennas. In Reference [9], BER of MIMO-OFDM due to the frequency offset and channel estimation errors has been analyzed. The BER expressions for no combining, equal gain combining (EGC) and maximal ratio combining (MRC) were derived.…”

Section: Introductionmentioning

confidence: 99%

Reduced Complexity BER Calculations in Large Scale Spatial Multiplexing Multi-User MIMO Orientations in Frequency Selective Fading Environments

Gkonis

Kaklamani

2019

Electronics

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In this article, a computationally-efficient approach is presented for Bit Error Rate (BER) calculations in multi-user Multiple Input Multiple Output (MIMO) frequency selective fading environments, operating in spatial multiplexing transmission mode. To this end, theoretical expressions for the equivalent Signal to Interference plus Noise Ratio (SINR) per active user and transmission mode, as well as mean BER, are derived. The key idea is that all parameters related to BER calculations can be expressed as sums of identically distributed random variables (RVs). Hence, computational burden can be reduced, since summation formulas take into account the parameters of a standalone RV along with the correlation of an arbitrary pair of RVs. As results indicate, the proposed approach can accurately estimate mean BER in multiuser MIMO orientations with increased reception diversity order, for arbitrary number of transmit/receive antennas, a modulation scheme, and a number of resolvable multi-path components.

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Bit Error Rate Approximation of MIMO-OFDM Systems with Carrier Frequency Offset and Channel Estimation Errors

Cited by 6 publications

References 27 publications

Optimal pilots design for frequency offsets and channel estimation in OFDM modulated single frequency networks

Optimal pilots design for frequency offsets and channel estimation in OFDM modulated single frequency networks

Compressed sensing channel estimation for STBC‐SM based hybrid MIMO‐OFDM system for visible light communication

Reduced Complexity BER Calculations in Large Scale Spatial Multiplexing Multi-User MIMO Orientations in Frequency Selective Fading Environments

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