Abstract:
The performance of the recursive least-squares (RLS) algorithm is mainly controlled by the forgetting factor. Using a constant value of this important parameter leads to ...Show MoreMetadata
Abstract:
The performance of the recursive least-squares (RLS) algorithm is mainly controlled by the forgetting factor. Using a constant value of this important parameter leads to a compromise between the main performance criteria, i.e., low misadjustment versus fast tracking. In this paper, we propose a variable forgetting factor (VFF) solution applicable to the recently developed RLS algorithm based on the nearest Kronecker product decomposition (namely RLS-NKP). The RLS-NKP algorithm exploits an efficient decomposition of the impulse response, thus being suitable for the identification of long length systems (like echo paths). The resulting VFF-RLS-NKP algorithm inherits the performance features of its original counterpart, while also achieving improvements due to the VFF approach. Simulations performed in the context of echo cancellation support this behavior.
Date of Conference: 18-20 June 2020
Date Added to IEEE Xplore: 16 July 2020
ISBN Information: