A New Iterative Doppler-Assisted Channel Estimation Joint With Parallel ICI Cancellation for High-Mobility MIMO-OFDM Systems

Aboutorab, Neda; Hardjawana, Wibowo; Vucetic, Branka

doi:10.1109/tvt.2012.2189593

Cited by 62 publications

(42 citation statements)

References 26 publications

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“…Using the matrix calculations and parameter approximations mentioned above, the computational complexity of the simplified schemes are given in Table 1, where the proposed approx1 denotes the proposed scheme with detection approximation and the proposed approx2 denotes the proposed scheme both with detection and covariance approximations. Since that Q; N R ; N T and N P are much smaller than N C , the proposed approx1 and approx2 have almost the same complexity as the BEM-based Kalman estimation combined with SIC QR detection [7] or with traditional SIC MMSE detection [21,27] (assume that Sherman-Morrison Equation is employed), but higher complexity than the interpolation-based LS estimation combined with PIC-DSC in [18]. However, generally speaking the LS estimator is much inferior to Kalman estimator and also the PIC detection to SIC detection, especially in the case of low SNR or high Doppler spread.…”

Section: Simplified Joint Channel Estimation and Detectionmentioning

confidence: 99%

“…Interpolation-based LS channel estimation and PIC-DSC [18] OðN R N T N 2 C Þ with Q 0 markers Q 0 N C ð2LÞ À1 R. Yang et al with N T =N R transmitting/receiving antennas, N P pilots subcarriers at each antenna evenly inserted into the N C subcarries, N cp ¼ N C =8, a bandwidth of 1=T s ¼ 2MHz and a carrier frequency of 5GHz is assumed. Also, we have BEM coefficients Q ¼ 4, which are sufficient to approximate the channel coefficients for a maximum Doppler spread of 0.8.…”

Section: Bem-based Kalman Estimation and Sic Mmse Detectionmentioning

confidence: 99%

“…The results show that under the strong interferences between multiple antennas, the SIC MMSE equalizer provides much higher performance than SIC zero forcing (ZF) equalizer. Besides, a interpolation-based LS channel estimation and parallel interference cancelation (PIC) coupled with decision statistical combining (DSC) has been recently evaluated to reduce the complexity of detection in [17,18], which has a minimal performance degradation in comparison to PIC MMSE and ZF methods.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Iterative Channel Estimation and Detection for High-Mobility MIMO-OFDM Systems: Mitigating Error Propagation by Exploiting Error Information

Teng

et al. 2015

Wireless Pers Commun

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Joint channel estimation and data detection are always challenging problems for high mobility multiple-input multiple-output orthogonal frequency division multiplexing systems. Existing iterative schemes focus on the performance improvement from the correct ones, ignoring error propagation from the incorrect ones. To deal with this problem, we propose a new iterative channel estimation and detection scheme that reduces the unexpected effects of both detection errors and channel estimation errors. The interference in channel estimation induced by detection errors is analyzed and transformed as part of the noise, which is filtered out by Kalman estimator using the derived covariance of both the channel and data errors in detection. Besides, to minimize the detection error caused by channel estimation errors, we propose a new detection algorithm with an optimized weight, which is obtained by the error covariance of the estimated channels and the detected data. Furthermore, matrix calculations and parameter approximations are performed to reduce computational complexity. Extensive simulation results are also presented to demonstrate the significant performance improvement in joint channel estimation and data detection with the proposed iterative schemes.

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Section: Simplified Joint Channel Estimation and Detectionmentioning

confidence: 99%

Section: Bem-based Kalman Estimation and Sic Mmse Detectionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Iterative Channel Estimation and Detection for High-Mobility MIMO-OFDM Systems: Mitigating Error Propagation by Exploiting Error Information

Teng

et al. 2015

Wireless Pers Commun

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“…A similar method to Gauss-Seidel Iteration OPT is called the Gauss-Seidel iteration, which is named after German mathematicians Carl Friedrich Gauss and Philipp Ludwig von Seidel [11]. It is an improved version of OPT in respect of its memory efficiency, as it does not require additional memory to store X (i) .As with the OPT method, although Gauss-Seidel iteration can be applied to matrices with non-zero diagonals, convergence is guaranteed only when the main diagonal is strictly or irreducibly diagonally dominant.…”

Section: Gauss-seidel Iterationmentioning

confidence: 99%

Equalization of OFDM by Iterative ICI reduction Methods

kanta¹,

Singh²

2015

International Journal of Advanced Research in Computer and Comm

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Orthogonal frequency division multiplexing (OFDM) is a method of encoding digital data on multiple carrier frequencies and developed as a popular scheme for 4G mobile communications. Inter-carrier interference (ICI) is a big challenge for OFDM systems while trying to utilize the full spectrum with zero cyclic prefix. It has been investigated that the ICI in OFDM is almost like the co-channel interference in CDMA and the techniques used there to reduce the interference can be used in OFDM also .The techniques are frequency domain equalizers like Operator perturbation Techniques (OPT) and Serial interference cancellation (SIC) and Parallel interference cancellation technique (PIC) along with Gauss Seidel iterative reduction technique. The aim of this paper is to study the OFDM systems suffering from ICI, due to large Doppler shift associated with high velocity of receiver. The main impact of ICI in an OFDM system is to destroy the orthogonality between subcarrier leads to the introduction of off-diagonal element in the channel matrix, making the traditionally considered diagonal channel matrix inaccurate and increasing the complexity of channel estimation and equalization .In this paper iterative cancellation methods have been studied and compared as they require the inversion of only a small portion of original full matrix and thus the complexity is reduced

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“…The consequences of these phenomena on the performance of OFDM systems have been widely analyzed (see e.g. [4][5][6][7]). To overcome that problem, it is required that all channel state informations (CSIs) be estimated in each OFDM symbol duration.…”

Section: Introductionmentioning

confidence: 99%

A robust ICI suppression based on an adaptive equalizer for very fast time-varying channels in LTE-R systems

Cho

Nguyen

Nguyễn

et al. 2018

J Wireless Com Network

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High-speed railway communication implemented based on Long-Term Evolution-Railway (LTE-R) Platform has strict requirements for quality of services to support high data-rate transmission for numerous mobile users. In such environment, there often exists inter-carrier interference. In this paper, we exploit a robust channel estimation method in the time domain for very fast time-varying LTE-railway channels, and then, we propose an effective and adaptive frequency-domain equalizer that can offer a tradeoff between performance and computational complexity. The simulation results show the robustness of our proposed method compared with previous ones. The computational complexity of the proposed method retain at a decent number by exploiting specified properties of channel matrices.

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A New Iterative Doppler-Assisted Channel Estimation Joint With Parallel ICI Cancellation for High-Mobility MIMO-OFDM Systems

Cited by 62 publications

References 26 publications

Iterative Channel Estimation and Detection for High-Mobility MIMO-OFDM Systems: Mitigating Error Propagation by Exploiting Error Information

Iterative Channel Estimation and Detection for High-Mobility MIMO-OFDM Systems: Mitigating Error Propagation by Exploiting Error Information

Equalization of OFDM by Iterative ICI reduction Methods

A robust ICI suppression based on an adaptive equalizer for very fast time-varying channels in LTE-R systems

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