Hu, Shicheng; Lian, Lixiang; Qian, Hua; Kang, Kai; Li, Mingqi

IEEE TRANSACTIONS ON COMMUNICATIONS

2024, 72, 1558-0857

Hu, Shicheng; Lian, Lixiang; Qian, Hua; Kang, Kai; Li, Mingqi

Phase noise can cause significant performance degradation in multiple-input-multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems, especially for high-order data transmission. To mitigate the effect of phase noise on data transmission, pilot-based and blind-based algorithms are widely adopted in the existing works, which suffer from spectral efficiency degradation or formidable computational cost due to the large-scale and time-dependent properties of phase noise. In this paper, we propose an efficient multi-level maximum a posteriori (MMAP)-based blind data detection algorithm to address the phase noise compensation in MIMO-ODFM systems. The proposed algorithm, exploiting the spectral low-dimensional property of phase noise and the approximate message passing (AMP) rule, achieves a near optimal detection performance. The exploitation of low-pass characteristics of phase noise spectrum significantly reduces the computational complexity, and the adoption of AMP principle ensures a linear complexity of the algorithm with respect to the number of antennas and subcarriers. Thus, a good complexity-accuracy trade-off is obtained. Besides, the proposed algorithm is applicable to the scenarios of commonly shared oscillators and independent oscillators. The numerical experiments show that the proposed pilot-free data detection algorithm can achieve superior data transmission performance for channels with strong phase noise at a low complexity.