Wideband angle of arrival estimation using the SAGE algorithm

Fleury, Bernard Henri; Dahlhaus, Dirk; Heddergott, R.; Tschudin, M.

doi:10.1109/isssta.1996.563747

Cited by 62 publications

(31 citation statements)

References 10 publications

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“…III. DATA EVALUATION To jointly determine the DOA and DOD of the double directional channel, the high resolution SAGE algorithm [11] was used. The data evaluation is based on the assumption that the received and transmitted signals can be described as a finite number of plane waves:…”

Section: B Measurement Scenariomentioning

confidence: 99%

Outdoor to indoor office MIMO measurements at 5.2 GHz

Wyne

Almers

Eriksson

et al.

IEEE 60th Vehicular Technology Conference, 2004. VTC2004-Fall. 2004

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Abstract-This paper presents the results of one of the first measurement campaigns for the double-directional characterization of outdoor to indoor wireless propagation channels. Such channels play a vital role for cellular systems with multiple antenna elements at transmitter and receiver, i.e. multiple-input multipleoutput (MIMO) systems. Measurements were performed at 5.2 GHz between 53 different receiver locations in an office building, and three "base station" positions on a nearby rooftop. In the paper we present results for angular-delay profiles, RMS angular spread, and other statistical parameters characterizing delay and angular dispersion.

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Section: B Measurement Scenariomentioning

confidence: 99%

Outdoor to indoor office MIMO measurements at 5.2 GHz

Wyne

Almers

Eriksson

et al.

IEEE 60th Vehicular Technology Conference, 2004. VTC2004-Fall. 2004

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“…It is important to emphasize the role of the new analysis of the EM algorithm because EM is the backbone for algorithms that are used in significant analyse, measurement data processing and simulations [1,7,8].…”

Section: The Expectation-maximization Algorithmmentioning

confidence: 99%

Symbolic Analysis as Universal Tool for Deriving Properties of Non-linear Algorithms – Case study of EM Algorithm

Lutovac

Porrat

2014

APH

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“…Various estimation tools have been used to estimate the channel parameters such as Multiple Signal Classification (MUSIC), Estimation of Signal Parameter via Rotational Invariance Techniques (ESPRIT) and maximumlikelihood (ML) methods like Expectation Maximization (EM) and Space Alternating Generalized Expectation Maximization (SAGE) algorithms [2]. ML methods yield more accurate results and provide higher resolution than other methods, but computational complexity is high due to the brute force search required to find the likelihood maximizing parameters.…”

Section: Introductionmentioning

confidence: 99%

Particle swarm optimization for SAGE maximization step in channel parameter estimation

Bodur¹,

Tunc²,

Aktas³

et al. 2007

2nd European Conference on Antennas and Propagation (EuCAP 2007)

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This paper presents an application of Particle Swarm Optimization (PSO) in Space Alternating Generalized Expectation Maximization (SAGE) algorithm. SAGE algorithm is a powerful tool for estimating channel parameters like delay, angles (azimuth and elevation) of arrival and departure, Doppler frequency and polarization. To demonstrate the improvement in processing time by utilizing PSO in SAGE algorithm, the channel parameters are estimated from a synthetic data and the computational expense of SAGE algorithm with PSO is discussed.

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Wideband angle of arrival estimation using the SAGE algorithm

Cited by 62 publications

References 10 publications

Outdoor to indoor office MIMO measurements at 5.2 GHz

Outdoor to indoor office MIMO measurements at 5.2 GHz

Symbolic Analysis as Universal Tool for Deriving Properties of Non-linear Algorithms – Case study of EM Algorithm

Particle swarm optimization for SAGE maximization step in channel parameter estimation

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