Robust Sparsity-Aware RLS Algorithms With Jointly-Optimized Parameters Against Impulsive Noise
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3166395
Abstract: This paper proposes a unified sparsity-aware robust recursive least-squares RLS (S-RRLS) algorithm for the identification of sparse systems under impulsive noise. The proposed algorithm generalizes multiple algorithms only by replacing the specified criterion of robustnessand… read more here.
Keywords: sparsity aware; sparsity; jointly optimized; impulsive noise ... See more keywords
Jointly-Optimized Searching and Tracking with Random Finite Sets
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Mobile Computing"
DOI: 10.1109/tmc.2019.2922133
Abstract: In this paper, we investigate the problem of joint searching and tracking of multiple mobile targets by a group of mobile agents. The targets appear and disappear at random times inside a surveillance region and… read more here.
Keywords: searching tracking; tracking random; random finite; optimized searching ... See more keywords
Interference Cancellation With Jointly Optimized Transceivers in Multiuser Multicellular Networks
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2018.2829544
Abstract: We propose novel jointly optimized transceivers for multiuser multicellular networks for both the uplink and the downlink. The optimization is based on minimizing the total mean square error at each base station given that out-of-cell… read more here.
Keywords: multicellular networks; interference cancellation; optimized transceivers; jointly optimized ... See more keywords