Direction-of-Arrival Estimation in the Presence of Phase Noise

• This letter proposes a robust direction-of-arrival (DoA) estimator in the presence of phase noise (PN). For a multi-antenna system with independent oscillators, the received signals will be corrupted by multiple independent PN sources, resulting in severe performance degradation of the DoA estimator, especially for millimeter-wave systems. However, due to the time-varying nature of PN, the number of associated unknowns grows with the size of the snapshots, making the calibration challenging. To tackle this problem, we use a piece-wise linear model to approximate PN so that the number of associated unknowns can be reduced. Then we estimate the DoA and the PN parameters iteratively via a nonlinear least squares estimator. To evaluate the effectiveness of the proposed scheme, the Cramer-Rao lower bound (CRLB) of the DoA estimation in the presence of PN is derived. Numerical results show a significant performance improvement of the proposed DoA estimator compared to the results without calibration.

Ämnesord

NATURVETENSKAP  -- Matematik -- Sannolikhetsteori och statistik (hsv//swe)

NATURAL SCIENCES  -- Mathematics -- Probability Theory and Statistics (hsv//eng)

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

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

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

ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)

Nyckelord

Minimization

millimeter-wave

nonlinear least squares

Millimeter wave communication

Radio frequency

Direction-of-arrival estimation

phase noise

Oscillators

Direction-of-arrival (DoA)

Calibration

Estimation

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