Joint phase noise estimation and data detection in coded multi-input-multi-output systems
Artikel i vetenskaplig tidskrift, 2014
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.
iterative receiver
expectation-maximisation
MIMO communication
PHN estimation
expectation-maximisation algorithm
parity check codes
MAP estimator
interleaved codes
oscillators
maximum likelihood estimation
low-density parity check code
iterative methods
EKFS-based approach
soft decision-directed extended Kalman filter-smoother
Kalman filters
maximum a posteriori
EM algorithm
phase noise
signal-to-noise ratio
data detection
MIMO receiver
bit-interleaved-coded modulation
radio receivers
joint oscillator phase noise estimation
coded multi-input-multi-output system
Författare
Arif Onder Isikman
Chalmers, Signaler och system, Kommunikationssystem, informationsteori och antenner
Hani Mehrpouyan
Chalmers, Signaler och system, Kommunikationssystem, informationsteori och antenner
Ali Arshad Nasir
Australian National University
Alexandre Graell i Amat
Chalmers, Signaler och system, Kommunikationssystem, informationsteori och antenner
Rodney A. Kennedy
Australian National University
IET Communications
1751-8628 (ISSN) 1751-8636 (eISSN)
Vol. 8 7 981-989Ämneskategorier (SSIF 2011)
Kommunikationssystem
DOI
10.1049/iet-com.2013.0730