Robust joint fine timing synchronization and channel estimation for MIMO systems

Line-of-Sight MIMO for High Capacity Millimeter Wave Backhaul in FDD Systems

“…There are many existing works that considered different subsets of the aforementioned physical impairments [6,[8][9][10][11][12][13][14][15][16][17][18]. TO estimation has been well studied in [9][10][11].…”

“…There are many existing works that considered different subsets of the aforementioned physical impairments [6,[8][9][10][11][12][13][14][15][16][17][18]. TO estimation has been well studied in [9][10][11]. In [9], the authors propose a maximum likelihood (ML) estimator to the TO in the MIMO system with an impractical assumption that the TOs are identical across all the antennas.…”

“…In [9], the authors propose a maximum likelihood (ML) estimator to the TO in the MIMO system with an impractical assumption that the TOs are identical across all the antennas. [10,11] propose estimation methods of different TOs over antennas. However, there are strict assumptions of TO in these works.…”

“…However, there are strict assumptions of TO in these works. Specifically, [10] assumes TOs are small and within one symbol time and [11] only considers TOs that are multiples of symbol time. In addition, these works only estimate the sum-offsets 3 and the preamble used in this work may fail due to the severe MAI induced by the high XPD in the dual-polarized LoS MIMO channel.…”

“…• Decentralized Spatial Timing Estimation and Compensation: We propose a low complexity spatial timing estimator that has a similar complexity to the crosscorrelation approach [8,11] but it is capable of utilizing spatial information across different antennas to estimate the per-antenna TO. The proposed spatial TO estimator only requires local information and hence it can be implemented separately at the transmitter and receiver.…”