Tuning Algorithm to Compensate for Hardware Errors of IBFD Analog Device.

This study investigates processing techniques to alleviate the impact of hardware imperfections for in-band full-duplex (IBFD) systems. The studied IBFD model considers a multi-tap digitally controlled analog filter to provide RF cancellation. With precise optimization, non-negative tap weights reconstruct the multi-path channel to mitigate the self-interference (SI). In our simulation study, the SI cancellation significantly degrades when the initial tap weights are optimized without accounting for the timing errors induced by hardware imperfections. Therefore, we develop a new adaptive algorithm to tune the tap weights and recover the performance degradation caused by the timing errors. Our results indicate that the proposed data-driven method compensates for the timing offsets. Additionally, by considering the finite bit depth of the non-negative tap weights the performance improves compared to when there are no timing errors present.