A generalized array manifold model for local scattering in wireless communications

Asztely, D.; Ottersten, Björn; Swindlehurst, A. Lee

doi:10.1109/icassp.1997.604828

Cited by 32 publications

(46 citation statements)

References 14 publications

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“…Here, a deterministic approach is taken instead, using a generalised array manifold model consisting of a linear combination of the nominal steering vector and its gradient [6]. For the uplink, the actual realisation of the spatial signature is of interest.…”

Section: Introductionmentioning

confidence: 99%

Generalised array manifold model for wireless communication channels with local scattering

Asztely

Ottersten

Swindlehurst

1998

IEE Proc., Radar Sonar Navig.

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Abstract:The authors propose the use of a generalised array manifold for parameterised spatial signature estimation in wireless communication channels with local scattering. The array manihld commonly used for point sources is generalised to include linear combinations of the nominal array response vectors and their derivatives. The motivation behind this idea I S to obtain better estimates of the spatial signatures for direction of arrival (DOA) based signal waveform estimation. The estimators proposed exploit the orthogonality between the so-called noise and signal subspaces, leading to a separable solution for the derivative coefficients. As a result, a search is required for the DOAs only. For uniform linear arrays, the spatial signatures are shown to be approximately Vandermonde vectors with damped modes, and a closed-form estimator such as ESPRIT may be used in this case. Simulation examples are included to compare the signal estimation performance obtained using the proposed generalised manifold and the conventional array manifold.

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Section: Introductionmentioning

confidence: 99%

Generalised array manifold model for wireless communication channels with local scattering

Asztely

Ottersten

Swindlehurst

1998

IEE Proc., Radar Sonar Navig.

Self Cite

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“…When the AS and the nominal azimuth spacing are less than these values, the Spread-F technique is inapplicable. The methods based on the GAM model proposed in [1], [10] and [11] are mainly for nominal direction estimation. In this paper we propose an AS estimator (ASE) based on the estimates of the parameters in the GAM model.…”

Section: The Spread-f Technique Requiresmentioning

confidence: 99%

“…We assume that c(φ) is such that the space spanned by the L vectors in the sum in (1) has dimension M with probability one. This supposes that L ≥ M .…”

Section: Signal Modelmentioning

confidence: 99%

“…Inserting the first-order Taylor approximation for each c(φ +φ ℓ ) in (1) yields the so-called GAM model [1] …”

Section: Signal Modelmentioning

confidence: 99%

“…Category ii) includes the Spread-F technique derived based on a two-ray model [3], the COMET-EXIP [8] and the SIOD approaches [9] using a stochastic distribution model, as well as the subspace-based methods [1] and the SAGE algorithms [10] [11] derived based on the Generalized Array Manifold (GAM) model proposed in [1]. The Spread-F technique is less complex than the COMET-EXIP and SIOD methods.…”

Section: Introductionmentioning

confidence: 99%

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Azimuth Spread Estimation for Slightly Distributed Scatterers Using the Generalized Array Manifold Model

Yin

Fleury

Pedersen

et al.

2005 IEEE 16th International Symposium on Personal, Indoor and Mobile Radio Communications

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Document VersionPublisher's PDF, also known as Version of record Link to publication from Aalborg University Citation for published version (APA):Yin, X., Fleury, B. H., Pedersen, T., & Nuutinen, J-P. (2005). Azimuth spread estimation for slightly distributed scatterers using the generalized array manifold model. In Proceedings of IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2005 (pp. 604) General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.? Users may download and print one copy of any publication from the public portal for the purpose of private study or research. ? You may not further distribute the material or use it for any profit-making activity or commercial gain ? You may freely distribute the URL identifying the publication in the public portal ? Take down policyIf you believe that this document breaches copyright please contact us at vbn@aub.aau.dk providing details, and we will remove access to the work immediately and investigate your claim.

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Comparison of MUSIC algorithms using gradient‐ and integral‐type mode vectors for direction of arrival and angular spread estimation

Hiroyuki

Kikuma

Sakakibara

et al. 2007

Electron. Comm. Jpn. Pt. I

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SUMMARYA generalized mode vector that simultaneously uses the differential coefficient component of the mode vector has been proposed for estimating the direction of arrival of incident waves having angular spread. In this paper, the authors first examined this generalized mode vector and proposed a gradient-type MUSIC algorithm that uses the differential coefficient component of the mode vector independently for estimating the direction of arrival. Then they used a computer simulation in which the waves having angular spread were considered to be a group of scattered waves to compare this algorithm with regard to the performance for estimating the direction of arrival with an integraltype MUSIC algorithm that uses simple integration, which they proposed separately. To improve the estimation precision degradation that occurs when the signal correlation is low among scattered waves that exist within the angular spread when using the integral-type MUSIC algorithm, the authors proposed a combined-type MUSIC algorithm that incorporated the gradient-type MUSIC algorithm in the integral-type MUSIC algorithm and used this to examine the performance for estimating the direction of arrival and angular spread again. The results of the comparison of the gradient-type MUSIC algorithm and integral-type MUSIC algorithm confirmed that the two algorithms have conflicting properties related to the signal correlation among scattered waves that exist within the angular spread. Also, the investigation related to the combined-type MUSIC algorithm indicated that estimation precision degradation that occurs when the signal correlation is low among scattered waves when using the integral-type MUSIC algorithm was reduced as expected.

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A generalized array manifold model for local scattering in wireless communications

Cited by 32 publications

References 14 publications

Generalised array manifold model for wireless communication channels with local scattering

Generalised array manifold model for wireless communication channels with local scattering

Azimuth Spread Estimation for Slightly Distributed Scatterers Using the Generalized Array Manifold Model

Comparison of MUSIC algorithms using gradient‐ and integral‐type mode vectors for direction of arrival and angular spread estimation

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