Channel parameter estimation in mobile radio environments using the SAGE algorithm

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

doi:10.1109/49.753729

Cited by 890 publications

(578 citation statements)

References 28 publications

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“…With respect to empirical PDF, it means a unimodal function type. Compared to [20], here the set of measurement results is limited to seven scenarios that are described in [21,[42][43][44][45][46]. Out of all unimodal, empirical PDFs that are included in [20], the measurement data from [47] are not contained in this paper.…”

Section: Measurement Scenariosmentioning

confidence: 99%

Empirical Models of the Azimuthal Reception Angle—Part I: Comparative Analysis of Empirical Models for Different Propagation Environments

Ziółkowski

Kelner

2016

Wireless Pers Commun

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Statistical properties of the reception angle have a significant impact on the choice of the antenna system patterns and decide on the received signal-processing methods. For angle of arrival in azimuth plane, comparative analysis of the empirical models and the approximation error evaluation are the purpose of this paper. Here, the presented analysis is focused on models such as the von Mises, modified Gaussian, modified Laplacian, and modified logistic. For each model, the approximation accuracy is determined with respect to measurement data for seven different propagation scenarios. The measures such as the least-squares error, difference of standard deviations, Kolmogorov-Smirnov statistic, and Cramer-von Mises statistic are used for evaluation of the approximation errors. Comparative analysis for four empirical models, differentiation of propagation environments, multi-criterial evaluation of approximation errors in significant degree fill a gap in the previous analysis presented in the literature. The obtained results show that the empirical models provide a better fit to the measurement data than the geometrical models, and the smallest errors of approximation are for the modified Laplacian and logistic distributions.

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Section: Measurement Scenariosmentioning

confidence: 99%

Empirical Models of the Azimuthal Reception Angle—Part I: Comparative Analysis of Empirical Models for Different Propagation Environments

Ziółkowski

Kelner

2016

Wireless Pers Commun

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“…In Seow and Tan methodology, each propagation path associated between each RD and MD has the measured TOAs and azimuth AOAs at both RD and MD (a pair of TOA and AOA at each side for every path). These four TOA and azimuth AOA parameters for each path at the RD and MD pair can be extracted and measured using the super resolution techniques such as Parametric Subspace-Based Estimation (PSBE) and the Deterministic Parameter Estimation (DPE) in the light of MUltiple SIgnal Classification (MUSIC), Space Alternating Generalized EM (SAGE) respectively [37,38]. In Seow and Tan experiment, SAGE algorithm is adopted.…”

Section: Concept Of Line Of Possible Mobile Device Location (Lpmd) Anmentioning

confidence: 99%

Peer-to-Peer Localization in Urban and Indoor Environments

Chen¹,

Tan

Seow³

2011

PIER B

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Abstract-This paper presents a novel peer-to-peer or mobileto-mobile localization scheme for general indoor and outdoor environments. In this scheme, two mobile nodes at arbitrary locations are able to locate each other without the need of Line-of-Sight (LOS) path between the two mobile device, and without the need for any reference devices such as GPS or land base beacons. Existing peerto-peer localization techniques make use of Time of Arrival (TOA) and Angle of Arrival (AOA) of LOS and single bounce scattering paths to derive line of possible mobile device positions (LPMDs). The intersections of LPMDs are then used to estimate the unknown mobile device position -referred to as the Line Segment Intersection. However, in a heavy multipath environment with many multiplebounce scattering paths, existing techniques require weighting factors and threshold values which are specifically chosen for that particular environment in order to select the LPMDs that correspond to LOS and single-bounce scattering paths for localization. Large localization error will occur if multiple-bounce scattering paths' LPMDs are mistakenly used for intersections. In addition, existing techniques also do not work well in a multipath environment with high level of TOA and AOA noises especially when the angles between LPMDs are small. The accuracy of the Line Segment Intersection also deteriorates as the distance traveled by multipath signals become comparable to each other. This renders the weighting and threshold values ineffective. This paper presents a novel Gaussian weighting process to remove the abovementioned limitations. The Gaussian weighting process also dramatically improves the accuracy of the localization. Experimental coupled with simulation results show that our proposed localization scheme outperforms existing Peer-to-peer localization technique by a significant margin of up to 83% and 54%

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“…In SAGE, parameters are updated sequentially in lower dimensional parameter spaces. In Table 1, the basic form of the SAGE algorithm, which is widely used in channel identification, is presented [7]. Similarly, the SAGE fails to find global solution in searching higher dimensional parameter spaces where there exist overlapped multipath components.…”

Section: Maximum-likelihood Based Parameter Estimationmentioning

confidence: 99%

“…Main advantage of the SAGE algorithm over the EM algorithm is its faster convergence resulting in an increased efficiency. Applications of SAGE algorithm are extensively reported in the literature [4][5][6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Multipath channel identification by using global optimization in ambiguity function domain

Güldoǧan

Arıkan

2011

Signal Processing

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a b s t r a c tA new transform domain array signal processing technique is proposed for identification of multipath communication channels. The received array element outputs are transformed to delay-Doppler domain by using the cross-ambiguity function (CAF) for efficient exploitation of the delay-Doppler diversity of the multipath components. Clusters of multipath components can be identified by using a simple amplitude thresholding in the delay-Doppler domain. Particle swarm optimization (PSO) can be used to identify parameters of the multipath components in each cluster. The performance of the proposed PSO-CAF technique is compared with the space alternating generalized expectation maximization (SAGE) technique and with a recently proposed PSO based technique at various SNR levels. Simulation results clearly quantify the superior performance of the PSO-CAF technique over the alternative techniques at all practically significant SNR levels.

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Channel parameter estimation in mobile radio environments using the SAGE algorithm

Cited by 890 publications

References 28 publications

Empirical Models of the Azimuthal Reception Angle—Part I: Comparative Analysis of Empirical Models for Different Propagation Environments

Empirical Models of the Azimuthal Reception Angle—Part I: Comparative Analysis of Empirical Models for Different Propagation Environments

Peer-to-Peer Localization in Urban and Indoor Environments

Multipath channel identification by using global optimization in ambiguity function domain

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