Výsledky vyhledávání - "Zakharov, Y."

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Direction of Arrival Estimation with Sparse Subarrays

Autor: Leite, W., de Lamare, R. C., Zakharov, Y., Liu, W., Haardt, M.

This paper proposes design techniques for partially-calibrated sparse linear subarrays and algorithms to perform direction-of-arrival (DOA) estimation. First, we introduce array architectures that incorporate two distinct array categories, namely typ

Externí odkaz: http://arxiv.org/abs/2409.00033

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Study of Robust Sparsity-Aware RLS algorithms with Jointly-Optimized Parameters for Impulsive Noise Environments

Autor: Yu, Y., Lu, L., Zakharov, Y., de Lamare, R. C., Chen, B.

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

Externí odkaz: http://arxiv.org/abs/2204.08990

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Robust DCD-Based Recursive Adaptive Algorithms

Autor: Yu, Y., Lu, L., Zheng, Z., Wang, W., Zakharov, Y., de Lamare, R. C.

The dichotomous coordinate descent (DCD) algorithm has been successfully used for significant reduction in the complexity of recursive least squares (RLS) algorithms. In this work, we generalize the application of the DCD algorithm to RLS adaptive fi

Externí odkaz: http://arxiv.org/abs/1908.06369

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Study of Robust Distributed Diffusion RLS Algorithms with Side Information for Adaptive Networks

Autor: Yu, Y., Zhao, H., de Lamare, R. C., Zakharov, Y., Lu, L.

This work develops robust diffusion recursive least squares algorithms to mitigate the performance degradation often experienced in networks of agents in the presence of impulsive noise. The first algorithm minimizes an exponentially weighted least-s

Externí odkaz: http://arxiv.org/abs/1902.01005

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Study of Robust Diffusion Recursive Least Squares Algorithms with Side Information for Networked Agents

Autor: Yu, Y., de Lamare, R. C., Zakharov, Y.

This work develops a robust diffusion recursive least squares algorithm to mitigate the performance degradation often experienced in networks of agents in the presence of impulsive noise. This algorithm minimizes an exponentially weighted least-squar

Externí odkaz: http://arxiv.org/abs/1812.09985

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Study of BEM-Type Channel Estimation Techniques for 5G Multicarrier Systems

Autor: Dias, J., de Lamare, R. C., Zakharov, Y.

In this paper, we investigate channel estimation techniques for 5G multicarrier systems. Due to the characteristics of the 5G application scenarios, channel estimation techniques have been tested in Orthogonal Frequency Division Multiplexing (OFDM) a

Externí odkaz: http://arxiv.org/abs/1806.06480

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