MMSE SQRD based SISO detection for coded MIMO-OFDM systems

Zhong, Wen; Lu, An-An; Gao, Xiqi

doi:10.1007/s11432-013-4939-x

Cited by 13 publications

(14 citation statements)

References 20 publications

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Order By: Relevance

“…The expected signal is contained in the first and second components. In SIC, the detection order is significant in system performance [7], [14]. We will discuss the ordering process in the next section.…”

Section: Siso Mmse-sqrd Based Turbo Equalizationmentioning

confidence: 99%

“…In [14], a sorting algorithm is proposed for MMSE-SQRD detection; however, it does not consider an iterative processing. [7] makes few modifications in turbo equalization where the a priori information is taken into account. In our case, when the channel estimation errors are considered, we find the extended channel matrix has similar expression with the extended channel matrix in [14].…”

Section: Sorted Qr Decompositionmentioning

confidence: 99%

“…Compared to the algorithms proposed in [7], the only difference is the extended channel matrix where ours takes into account of channel estimation error. The computation of the extended channel matrix is in the order of O (N T N R ).…”

Section: E Complexity Analysismentioning

confidence: 99%

“…The computation of the extended channel matrix is in the order of O (N T N R ). According to [7], the proposed MMSE-SQRD based turbo MIMO-OFDM system with imperfect channel estimation. Different modulation and coding schemes (MCS) following the specification of LTE downlink [15] are considered.…”

Section: E Complexity Analysismentioning

confidence: 99%

“…Low complexity soft interference cancellation turbo equalization for MIMO systems with multilevel modulation is proposed in [6], and the performance of the proposed scheme approaches the ideal match filter bound as the iteration processes. The recent MMSE sorted QR decomposition (SQRD) based SISO detection for coded MIMO-OFDM systems proposed in [7] is derived from SISO MMSE detection, and performs soft successive interference cancellation with less computational complexity. Iterative soft QRD-M detection and decoding for single carrier block transmission systems is proposed in [8], and the bit error rate (BER) performance is closed to that of a maximum a posteriori (MAP) probability detector.…”

Section: Introductionmentioning

confidence: 99%

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Soft Input Soft Output MMSE-SQRD Based Turbo Equalization for MIMO-OFDM Systems under Imperfect Channel Estimation

Fan¹,

Li²

2014

2015 IEEE Global Communications Conference (GLOBECOM)

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In this paper, a turbo equalization scheme for MIMO-OFDM systems under imperfect channel estimation based on soft-input soft-output (SISO) minimum mean-square error (MMSE) sorted QR decomposition (SQRD) is proposed. A turbo structure consists of a SISO detector and a SISO decoder where extrinsic information is exchanged between the two SISO modules. Turbo equalization schemes are preferable in practical communication systems due to their good performance and acceptable computational complexity. MMSE-SQRD based SISO detection derives from SISO MMSE detection, and successive interference cancellation (SIC) is performed using a posteriori information obtained from previous detected symbols. Compared to SISO MMSE detection, MMSE-SQRD based SISO detection is of low complexity but has significant bit error rate (BER) performance enhancement. However, the derivation of the MMSE-SQRD based SISO detection scheme is under perfect knowledge of channel information at receivers. When channel estimation errors are presented, it has been pointed out that the system performance will degrade. In this paper, we studied this practical issue, and proposed the SISO MMSE-SQRD based turbo equalization under imperfect channel estimation. We first model the channel estimation error as added random Gaussian noise over the channel estimation matrix; based on that, we rederive the SISO MMSE detection for the data, and then redefine the extended channel matrix and receive vector by taking into account of channel estimation errors; after that, the SQRD algorithm is adjusted in accordance; MMSE-SQRD based data detection algorithm is finally performed. Numerical simulation results show that the proposed SISO MMSE-SQRD based turbo equalization for MIMO-OFDM systems under imperfect channel estimation outperforms the traditional MMSE based SISO detection with imperfect channel estimation in terms of BER performance and computational complexity.

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Section: Siso Mmse-sqrd Based Turbo Equalizationmentioning

confidence: 99%

Section: Sorted Qr Decompositionmentioning

confidence: 99%

Section: E Complexity Analysismentioning

confidence: 99%

Section: E Complexity Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Soft Input Soft Output MMSE-SQRD Based Turbo Equalization for MIMO-OFDM Systems under Imperfect Channel Estimation

Fan¹,

Li²

2014

2015 IEEE Global Communications Conference (GLOBECOM)

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Multi-cell massive MIMO transmission with coordinated pilot reuse

Zhong

You

Lian

et al. 2015

Sci. China Technol. Sci.

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An Alamouti coded CP-FBMC-MIMO system with two transmit antennas

Kong

Xia

Jiang

2015

Sci. China Inf. Sci.

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In this paper, we propose an Alamouti coding for filter bank multicarrier (FBMC) with cyclic prefix (CP) for two transmit antennas, which can avoid the imaginary interference problem existing in the conventional FBMC with multi-antenna systems. Instead of performing Alamouti coding on original data symbols, we perform Alamouti coding on pre-processing signal at the transmitter in our proposed scheme. We show that our proposed scheme has fast single-symbol maximum-likelihood (ML) decoding and achieves full spatial diversity. Simulation results show that the proposed scheme can achieve the BER performance of Alamouti coding under both of the flat-fading channel and the frequency-selective channel. Therefore, it is an efficient Alamouti coding scheme for CP-FBMC systems with two transmit antennas.

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MMSE SQRD based SISO detection for coded MIMO-OFDM systems

Cited by 13 publications

References 20 publications

Soft Input Soft Output MMSE-SQRD Based Turbo Equalization for MIMO-OFDM Systems under Imperfect Channel Estimation

Soft Input Soft Output MMSE-SQRD Based Turbo Equalization for MIMO-OFDM Systems under Imperfect Channel Estimation

Multi-cell massive MIMO transmission with coordinated pilot reuse

An Alamouti coded CP-FBMC-MIMO system with two transmit antennas

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