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

• 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.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Kommunikationssystem (hsv//swe)

ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Communication Systems (hsv//eng)

Keyword

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

Publication and Content Type

art (subject category)

ref (subject category)