Improved method for estimating angle of arrival in multipath conditions using the 'MUSIC' algorithm

Jami, I.; Ormondroyd, R.F.

doi:10.1109/apwc.2000.900151

Cited by 9 publications

(4 citation statements)

References 9 publications

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“…However, in this algorithm some of the poles mislead the estimator by pointing to the wrong directions particularly at low SNR. An improved MUSIC-based DoA estimation method under multipath fading environment was proposed in (Jami & Ormondroyd, 2000). To eliminate the biased result in such environment, this improved scheme takes the impact of angular spread resulted from signal scattering into account in the computation of the SV.…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Analysis of the Impact of System Parameters on Subspace-based DoA Estimation Performance

Karim

Ali

2022

UKH J SCI ENG

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This work provides an explanatory analysis of the influence of input parameters on the performance of subspace-based Direction of Arrival (DoA) estimation algorithms. The objective of this work is twofold. First, to drive a Steering Vector (SV) that works for arbitrary array configuration rather than just Uniform Linear Array (ULA) geometry. Second, to identify how the performance of the subspace-based algorithms is affected by tuning the input parameters. The later objective is crucial as it allows optimizing the algorithm through selecting optimum parameters to set an appropriate tradeoff between complexity and performance based on the intended applications. Toward that end, we firstly drive an SV for arbitrary array configuration followed by revealing the working principle of subspace based DoA techniques. Secondly, we evaluate the impact of several parameters namely Signal to Noise Ratio (SNR), number of snapshots, number of array elements, separation between array elements, number of available sources, and dependency between sources to conduct our analysis. Numerical simulations over a wide range of scenarios along with intensive Monte Carlo simulations are conducted to show the influence of these parameters on the resolution, accuracy, and complexity of the subspace based DoA estimation algorithm. As demonstrated by the obtained results, the performance of this class of DoA estimation method is determined mostly by the values of the input parameters. Furthermore, the simulation results show that tradeoff between performance and computational complexity needs to be considered when the system parameters are chosen for DoA estimation algorithms.

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Section: Introductionmentioning

confidence: 99%

A Comprehensive Analysis of the Impact of System Parameters on Subspace-based DoA Estimation Performance

Karim

Ali

2022

UKH J SCI ENG

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“…If diversity reception is applied at one or both of the terminals, the multipath effect can be mitigated. The AoA can be estimated from the measured diversity data using well-known techniques, such as MUSIC [8] and ESPRIT [9]. Ray-tracing methods can also be used [10].…”

Section: Introductionmentioning

confidence: 99%

Onbody Diversity and Angle-of-Arrival Measurement Using a Pattern Switching Antenna

Kamarudin

Nechayev²,

Hall³

2009

IEEE Trans. Antennas Propagat.

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Diversity is one of the methods to overcome the multipath effect in the mobile environment. A pattern diversity antenna with four beams was used to investigate the diversity performance in the onbody environment. A switched diversity combining method-switch-and-stay strategy-was used to analyze the data. Finding an angle of arrival (AoA) of different multipath components is very useful since it allows optimization of the base-station antenna radiation patterns and can be used to locate and track the handsets that operate in a particular cell. Similarly, in onbody communications, knowing the AoA enables determining the position of the antennas relative to each other and supports the design of antennas with optimized radiation patterns. Diversity and AoA measurements have been performed for five randomly movements body channels. In diversity measurements, the antenna beams are switched quickly considerably faster than the body movements. The results show that significanct gains are achieved for non-line-of-sight channels and no gain is obtained for the LOS channel since the signal is received by the same beam during the measurement. During AoA measurements, the 2-D process is chosen in which the angles are in a 2-D plane around the ground plane of the antenna. The main propagation paths of the transmitted signal are limited to a limited interval of the AoA range. These AoA estimates for onbody propagation channels can be used for designing better fixed beam and pattern diversity antennas.Index Terms-Angle of arrival (AoA), diversity gain, onbody channels and switched diversity combining, pattern diversity antenna.

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“…[25], [26] for AoA/AoD estimation or [27] for multi-user power allocation in massive MIMO context) or that use PAS as a priori knowledge (see, e.g. [28] for beam training improvement or [29], [30] for AoA/AoD estimation). Furthermore, the clustering method should be fast enough since to obtain statistically meaningful results, a large number of channels is to be analyzed [24].…”

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confidence: 99%

Angular Clustering of Millimeter-Wave Propagation Channels With Watershed Transformation

Lyu¹,

Benlarbi-Delaï²,

Ren³

et al. 2022

IEEE Trans. Antennas Propagat.

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An angular clustering method based on image processing is proposed in this paper. It is used to identify clusters in 2D representations of propagation channels. The approach uses operations such as watershed segmentation and is particularly well suited for clustering directional channels obtained by beam-steering at millimeter-wave. This situation occurs for instance with electronic beam-steering using analog antenna arrays during beam training process or during channel modeling measurements using either electronic or mechanical beam-steering. In particular, the proposed technique is used here to cluster two-dimensional power angular spectrum maps. The proposed clustering is unsupervised and is well suited to preserve the shape of clusters by considering the angular connection between neighbor samples, which is useful to obtain more accurate descriptions of channel angular properties. The approach is found to outperform approaches based on K-Power-Means in terms of accuracy as well as computational resources. The technique is assessed in simulation using IEEE 802.11ad channel model and in measurement using experiments conducted at 60 GHz in an indoor environment.Index Terms-propagation channel angular clustering, millimeter wave, watershed transformation, 2D angular measurements at 60 GHz I. INTRODUCTIONR ECENT years have witnessed a growing interest in millimeter waves communications [1]. The spectrum congestion in the lower part of the spectrum and the evergrowing need of higher data rates incited the telecommunication actors to assess the suitability of mm-wave frequency bands to support Gbps wireless communications. During the last decade, several standards have been proposed to operate Manuscript

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Improved method for estimating angle of arrival in multipath conditions using the 'MUSIC' algorithm

Cited by 9 publications

References 9 publications

A Comprehensive Analysis of the Impact of System Parameters on Subspace-based DoA Estimation Performance

A Comprehensive Analysis of the Impact of System Parameters on Subspace-based DoA Estimation Performance

Onbody Diversity and Angle-of-Arrival Measurement Using a Pattern Switching Antenna

Angular Clustering of Millimeter-Wave Propagation Channels With Watershed Transformation

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