An efficient sparse channel estimator combining time-domain LS and iterative shrinkage for OFDM systems with IQ-imbalances

Shu, Feng; Zhao, Junhui; You, Xiaohu; Wang, Mao; Chen, Qian; Berber, Stevan

doi:10.1007/s11432-012-4691-7

Cited by 8 publications

(3 citation statements)

References 21 publications

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“…The target PLR at the data link layer, P loss = 10 −3 , and the data packet contains 1080 bits. In simulation, the relation between the actual channel h and its delayed versionĥ is expressed as h = ρ 1/2ĥ + e [20], where h andĥ are independent zero-mean complex Gaussian random variables of unit variance with correlation coefficient ρ 1/2 = J 0 (2πf d τ ), and the maximum Doppler frequency f d can be estimated by the methods described in [25][26][27][28][29][30]. Here, e is the estimation error independent ofĥ, and it is an complex Gaussian random variable with zero mean and variance (1 − ρ).…”

Section: Simulation Results and Numerical Analysismentioning

confidence: 99%

Cross-layer design for cooperative MIMO systems with relay selection and imperfect CSI

Zhou

Rui

et al. 2013

Sci. China Inf. Sci.

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Impacts of outdated CSI for secure cooperative systems with opportunistic relay selection SCIENCE CHINA Information Sciences 60, 069303 (2017); A novel multi-relay cross-layer cooperative communication strategy based on Jackson queuing model SCIENCE CHINA Information Sciences 53, 842 (2010); Performance analysis of MIMO systems with arbitrary number transmit antenna selection and OSTBC in the presence of imperfect CSI SCIENCE CHINA Information Sciences 59, 082304 (2016); Adaptive robust Max-SLNR precoder for MU-MIMO-OFDM systems with imperfect CSI SCIENCE CHINA Information Sciences 59, 062302 (2016); Cross-layer packet scheduling for downlink multiuser OFDM systems Science in China Series F-Information Sciences 52, 2369 (2009);. RESEARCH PAPER .

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Section: Simulation Results and Numerical Analysismentioning

confidence: 99%

Cross-layer design for cooperative MIMO systems with relay selection and imperfect CSI

Zhou

Rui

et al. 2013

Sci. China Inf. Sci.

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“…Similar to [23], the ideal channel frequency responses (CFR) has the following relationship with its channel impulse responses (CIR)…”

Section: System Modelmentioning

confidence: 99%

Sum-MSE Gain of DFT-Based Channel Estimator Over Frequency-Domain LS One in Full-Duplex OFDM Systems

Wang

Shu

et al. 2019

IEEE Systems Journal

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In this paper, we make an investigation on the summean-square-error (sum-MSE) performance gain achieved by DFT-based least-square (LS) channel estimator over frequencydomain LS one in full-duplex OFDM system in the presence of colored interference and noise. The closed-form expression of the sum-MSE performance gain is given. Its simple upper and lower bounds are derived by using inequalities of matrix eigen-values. By simulation and analysis, the upper lower bound is shown to be close to the exact value of MSE gain as the ratio of the number N of total subcarriers to the cyclic prefix length L grows and the correlation factor of colored interference increases. More importantly, we also find that the MSE gain varies from one to N/L as the correlation among colored interferences decreases gradually. According to theoretical analysis, we also find the MSE gain has very simple forms in two extreme scenarios. In the first extreme case that the colored interferences over all subchannels are fully correlated, i.e., their covariance matrix is a matrix of allones, the sum-MSE gain reduces to 1. In other words, there is no performance gain. In the second extreme case that the coloredinterference covariance matrix is an identity matrix, i.e, they are mutually independent, the achievable sum-MSE performance gain is N/L. A large ratio N/L will achieve a significant sum-MSE gain.

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“…An expectation-maximization (EM) based iterative algorithm to jointly estimate the CIR and IQI was proposed for Alamouti OFDM systems in [12]. In [13], an iterative shrinkage algorithm was adopted to estimate the IQI parameters and sparse channel for OFDM systems.…”

Section: Introductionmentioning

confidence: 99%

Decoupled estimation of frequency-dependent IQI and channel for OFDM systems with direct-conversion transceivers

2017

Journal of Systems Engineering and Electronics

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The in-phase and quadrature-phase imbalance (IQI) is one of the major radio frequency impairments existing in orthogonal frequency division multiplexing (OFDM) systems with direct-conversion transceivers. During the transmission of the communication signal, the impact of IQI is coupled with channel impulse responses (CIR), which makes the traditional channel estimation schemes ineffective. A decoupled estimation scheme is proposed to separately estimate the frequency-dependent IQI and wireless channel. Firstly, the generalized channel model is built to separate the parameters of IQI and wireless channel. Then an iterative estimation scheme of frequency-dependent IQI is designed at the initial stage of communication. Finally, based on the estimation result of IQI, the least square algorithm is utilized to estimate the channel-related parameters at each time of channel variation. Compared with the joint estimation schemes of IQI and channel, the proposed decoupled estimation scheme requires much lower training overhead at each time of channel variation. Simulation results demonstrate the good estimation performance of the proposed scheme.

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An efficient sparse channel estimator combining time-domain LS and iterative shrinkage for OFDM systems with IQ-imbalances

Cited by 8 publications

References 21 publications

Cross-layer design for cooperative MIMO systems with relay selection and imperfect CSI

Cross-layer design for cooperative MIMO systems with relay selection and imperfect CSI

Sum-MSE Gain of DFT-Based Channel Estimator Over Frequency-Domain LS One in Full-Duplex OFDM Systems

Decoupled estimation of frequency-dependent IQI and channel for OFDM systems with direct-conversion transceivers

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