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Joint phase noise estimation and data detection in coded multi-input-multi-output systems

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Title: Joint phase noise estimation and data detection in coded multi-input-multi-output systems
Authors: Isikman, Arif Onder, 1988, Mehrpouyan, Hani, 1981, Nasir, Ali Arshad, Graell i Amat, Alexandre, 1976, Kennedy, Rodney A.
Source: IET Communications. 8(7):981-989
Subject Terms: MIMO receiver, MIMO communication, oscillators, MAP estimator, soft decision-directed extended Kalman filter-smoother, maximum a posteriori, iterative methods, EM algorithm, radio receivers, expectation-maximisation algorithm, interleaved codes, Kalman filters, PHN estimation, expectation-maximisation, data detection, phase noise, iterative receiver, bit-interleaved-coded modulation, coded multi-input-multi-output system, EKFS-based approach, low-density parity check code, maximum likelihood estimation, signal-to-noise ratio, parity check codes, joint oscillator phase noise estimation
Description: The problem of joint oscillator phase noise (PHN) estimation and data detection for multi-input multi-output (MIMO) systems using bit-interleaved-coded modulation is analysed. A new MIMO receiver that iterates between the estimator and the detector, based on the expectation-maximisation (EM) framework, is proposed. It is shown that at high signal-to-noise ratios, a maximum a posteriori (MAP) estimator can be used to carry out the maximisation step of the EM algorithm. Moreover, to reduce the computational complexity of the proposed EM algorithm, a soft decision-directed extended Kalman filter-smoother (EKFS) is applied instead of the MAP estimator to track the PHN parameters. The numerical results show that by combining the proposed EKFS-based approach with an iterative detector that employs low-density parity check codes, PHN can be accurately tracked. The simulations also demonstrate that compared to the existing algorithms, the proposed iterative receiver can significantly enhance the performance of MIMO systems in the presence of PHN.
Access URL: https://research.chalmers.se/publication/200143
Database: SwePub
Description
Abstract:The problem of joint oscillator phase noise (PHN) estimation and data detection for multi-input multi-output (MIMO) systems using bit-interleaved-coded modulation is analysed. A new MIMO receiver that iterates between the estimator and the detector, based on the expectation-maximisation (EM) framework, is proposed. It is shown that at high signal-to-noise ratios, a maximum a posteriori (MAP) estimator can be used to carry out the maximisation step of the EM algorithm. Moreover, to reduce the computational complexity of the proposed EM algorithm, a soft decision-directed extended Kalman filter-smoother (EKFS) is applied instead of the MAP estimator to track the PHN parameters. The numerical results show that by combining the proposed EKFS-based approach with an iterative detector that employs low-density parity check codes, PHN can be accurately tracked. The simulations also demonstrate that compared to the existing algorithms, the proposed iterative receiver can significantly enhance the performance of MIMO systems in the presence of PHN.
ISSN:17518628
17518636
DOI:10.1049/iet-com.2013.0730