Direction-of-Arrival Estimation in the Presence of Phase Noise
Journal article, 2020

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.



nonlinear least squares

Millimeter wave communication

Radio frequency

Direction-of-arrival estimation

phase noise


Direction-of-arrival (DoA)




Rui Lu

Xi'an Jiaotong University

Ming Zhang

Xi'an Jiaotong University

Xiaoming Chen

Xi'an Jiaotong University

Southeast University

Anxue Zhang

Xi'an Jiaotong University

Tommy Svensson

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

IEEE Communications Letters

1089-7798 (ISSN) 15582558 (eISSN)

Vol. 24 8 1710-1714 9090184

Subject Categories

Probability Theory and Statistics

Control Engineering

Signal Processing



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