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

Arif Onder Isikman (Institutionen för signaler och system, Kommunikationssystem) ; Hani Mehrpouyan (Institutionen för signaler och system, Kommunikationssystem) ; A. A. Nasir ; Alexandre Graell i Amat (Institutionen för signaler och system, Kommunikationssystem) ; R. A. Kennedy
Iet Communications (1751-8628). Vol. 8 (2014), 7, p. 981-989.
[Artikel, refereegranskad vetenskaplig]

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.

Nyckelord: phase noise; MIMO communication; radio receivers; interleaved codes; oscillators; expectation-maximisation algorithm; maximum likelihood estimation; Kalman filters; parity check codes; iterative methods; data detection; coded multi-input-multi-output system; joint oscillator phase noise estimation; PHN estimation; MIMO receiver; bit-interleaved-coded modulation; expectation-maximisation; EM algorithm; signal-to-noise ratio; maximum a posteriori; MAP estimator; soft decision-directed extended Kalman filter-smoother; EKFS-based approach; low-density parity check code; iterative receiver



Denna post skapades 2014-07-03. Senast ändrad 2015-03-06.
CPL Pubid: 200143

 

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Institutioner (Chalmers)

Institutionen för signaler och system, Kommunikationssystem

Ämnesområden

Kommunikationssystem

Chalmers infrastruktur