Direction-of-Arrival Estimation Methods: A Performance-Complexity Tradeoff Perspective
| Autor: | Paulo Rogério Scalassara, Taufik Abrão, Edno Gentilho |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Signal Processing (eess.SP)
Imagination Computer science media_common.quotation_subject 02 engineering and technology Theoretical Computer Science Search engine symbols.namesake Minimum-variance unbiased estimator FOS: Electrical engineering electronic engineering information engineering 0202 electrical engineering electronic engineering information engineering Electrical Engineering and Systems Science - Signal Processing media_common Computer Science::Information Theory Direction of arrival 020206 networking & telecommunications Fourier transform Hardware and Architecture Control and Systems Engineering Modeling and Simulation Signal Processing symbols Rotational invariance 020201 artificial intelligence & image processing Algorithm 5G Subspace topology Information Systems |
| Popis: | This work analyses the performance-complexity tradeoff for different direction of arrival (DoA) estimation techniques. Such tradeoff is investigated taking into account uniform linear array structures. Several DoA estimation techniques have been compared, namely the conventional Delay-and-Sum (DS), Minimum Variance Distortionless Response (MVDR), Multiple Signal Classifier (MUSIC) subspace, Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT), Unitary-ESPRIT and Fourier Transform method (FT-DoA). The analytical formulation of each estimation technique as well the comparative numerical results are discussed focused on the estimation accuracy versus complexity tradeoff. The present study reveals the behavior of seven techniques, demonstrating promising ones for current and future location applications involving DoA estimation, especially for 5G massive MIMO systems. 35 pages, 10 figures, 4 tables |
| Databáze: | OpenAIRE |
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