摘要

The partitioned block frequency-domain Kalman filter (PBFDKF) is appealing due to its fast convergence speed, low steady-state misalignment and small inherent delay. However, the tracking ability of the PBFDKF is poor. In this paper, we firstly analyze the tracking performance of the PBFDKF and then we propose an improved PBFDKF-based adaptive feedback cancellation algorithm. Moreover, we present a new delayless implementation with lower complexities. Simulation results demonstrate the performance advantage of the proposed algorithm.

全文