An efficient direction‐of‐arrival estimation of multipath signals with impulsive noise using satin bowerbird optimization‐based deep learning neural network-Reference-Cited by-同舟云学术

An efficient direction‐of‐arrival estimation of multipath signals with impulsive noise using satin bowerbird optimization‐based deep learning neural network

Published:2022-07-25 Issue: Volume: Page:
ISSN:0266-4720
Container-title:Expert Systems
language:en
Short-container-title:Expert Systems

Author:

Gantayat Harikrushna¹²^ORCID,Panigrahi Trilochan³,Patra Pradyumna¹²

Affiliation:

1. Department of Electronics and Communication Engineering National Institute of Science and Technology, Berhampur, Biju Patnaik University of Technology Rourkela India

2. Department of Electronics and Communication Engineering Biju Patnaik University of Technology Rourkela India

3. Department of Electronics and Communication Engineering National Institute of Technology Ponda Goa India

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/exsy.13108

Reference23 articles.

1. EFFICIENT NEURAL NETWORK APPROACH FOR 2D DOA ESTIMATION BASED ON ANTENNA ARRAY MEASUREMENTS

2. DOA Estimation for Highly Correlated and Coherent Multipath Signals with Ultralow SNRs

3. Narrowband and Wideband Off-Grid Direction-of-Arrival Estimation via Sparse Bayesian Learning

4. Direction‐of‐arrival estimation for uncorrelated and coherent signals in the presence of multipath propagation

5. Fast and efficient DOA estimation method for signals with known waveforms using nonuniform linear arrays

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1. A Comprehensive Review of Direction-of-Arrival Estimation and Localization Approaches in Mixed-Field Sources Scenario;IEEE Access;2024