Efficient CFO Estimation for Multi-User OFDM with Leaky Wave Antenna

In this paper, we propose an efficient estimation method for resolving the challenge related to the carrier frequency offset (CFO) estimator technique for multi-user OFDM systems when the base station (BS) employs the beam-scanned leaky wave antenna (LWA). We consider that the LWA can change the scanning frequency, which can perform the CFO estimation independently for each user, thereby reducing interference within the subcarriers. The proposed CFO estimator scheme utilizes the subspace MUSIC (multiple signal classification) estimation algorithms developed by computing correlation matrix through the eigendecomposition process. We further compute the CRLB to serve as a performance benchmark with the developed MUSIC scheme. Finally, different numerical results are available to justify the effectiveness of the proposed studies under different configurations.