A Novel AWSF Algorithm for DOA Estimation in Virtual MIMO Systems

Chen, Haihua; Pan, Zhengang; Tian, Lin; Shi, Jinglin; Yang, Guanghua; Suzuki, Masato

doi:10.1109/jsac.2013.131003

Cited by 12 publications

(8 citation statements)

References 24 publications

(38 reference statements)

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“…The authors in [15] propose a VMIMO scheme for direction of arrival estimation in which a set of user equipments are grouped together to simultaneously communicate with the base station on a given resource block and propose an automatic weighted subspace fitting algorithm that can detect the number of independent signals automatically and show accurate direction of arrival estimation. VMIMO systems present several challenges in order to improve the spatial diversity gain and spectrum efficiency.…”

Section: Related Workmentioning

confidence: 99%

Achieving QoS in Virtual MIMO systems: a satisfaction equilibrium analysis

Bennani

Sabir

Kobbane

et al. 2016

J Wireless Com Network

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This paper presents a game theoretic framework to analyze a cellular-WLAN heterogeneous network from a virtual multiple-input multiple-output (VMIMO) perspective. Namely, we restrict to the uplink case and consider a non-cooperative game where each user seeks to meet some quality of service (QoS). Moreover, mobile users are allowed to re-inject, through their WLAN interfaces, a part of their throughput in the induced game. Thus, the interaction among users defines a distributed VMIMO with a possibly throughput exchange. This mechanism will help all users to meet their respective QoS expressed by the perceived average throughput. The average throughput is considered to be the utility function used in this framework. Now, each mobile user experiences a certain throughput composed of two parts: (1) the throughput received from cellular subsystem and (2) the throughput received from WLAN subsystem. Naturally, we use the concept of satisfaction equilibrium to predict the behavior of the network. Indeed, we provided a sufficient condition for the existence of such an equilibrium. Next, we prove the uniqueness of the equilibrium and compute it explicitly. Afterward, we propose a fully distributed algorithm inspired from the well-known Banach-Picard learning algorithm. Our scheme has many good features facilitating its implementation and usability. Indeed, it accurately converges to the equilibrium (if exists), it is very fast, and it requires no external information. Simulation results validate the algorithm and show its robustness and illustrate numerically the proposed learning scheme for quality-of-service management in such a heterogeneous network.

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Section: Related Workmentioning

confidence: 99%

Achieving QoS in Virtual MIMO systems: a satisfaction equilibrium analysis

Bennani

Sabir

Kobbane

et al. 2016

J Wireless Com Network

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“…The fixed multi-beam antenna and the adaptive array of antennas are two basic types of SA. The former turns the beams on or off while the patient is moving; the latter processes and combines received signals to maximize the signal-to-interference and noise ratio (SINR) [ 8 , 9 ]. The intersecting point of two rays, which come from two different directions measured by two uniform rectangle arrays (URA), can be regarded as the patient’s location.…”

Section: Introductionmentioning

confidence: 99%

Wearable Sensor Localization Considering Mixed Distributed Sources in Health Monitoring Systems

Wan

Han

Wang

et al. 2016

Sensors

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In health monitoring systems, the base station (BS) and the wearable sensors communicate with each other to construct a virtual multiple input and multiple output (VMIMO) system. In real applications, the signal that the BS received is a distributed source because of the scattering, reflection, diffraction and refraction in the propagation path. In this paper, a 2D direction-of-arrival (DOA) estimation algorithm for incoherently-distributed (ID) and coherently-distributed (CD) sources is proposed based on multiple VMIMO systems. ID and CD sources are separated through the second-order blind identification (SOBI) algorithm. The traditional estimating signal parameters via the rotational invariance technique (ESPRIT)-based algorithm is valid only for one-dimensional (1D) DOA estimation for the ID source. By constructing the signal subspace, two rotational invariant relationships are constructed. Then, we extend the ESPRIT to estimate 2D DOAs for ID sources. For DOA estimation of CD sources, two rational invariance relationships are constructed based on the application of generalized steering vectors (GSVs). Then, the ESPRIT-based algorithm is used for estimating the eigenvalues of two rational invariance matrices, which contain the angular parameters. The expressions of azimuth and elevation for ID and CD sources have closed forms, which means that the spectrum peak searching is avoided. Therefore, compared to the traditional 2D DOA estimation algorithms, the proposed algorithm imposes significantly low computational complexity. The intersecting point of two rays, which come from two different directions measured by two uniform rectangle arrays (URA), can be regarded as the location of the biosensor (wearable sensor). Three BSs adopting the smart antenna (SA) technique cooperate with each other to locate the wearable sensors using the angulation positioning method. Simulation results demonstrate the effectiveness of the proposed algorithm.

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“…The strategy requires an exhaustive multi-dimensional peak search, resulting in a relatively high computational complexity as most 2D DoA estimation algorithms. A novel automatic weighted subspace fitting (AWSF) algorithm for DoA estimation is given in [13]. It enhanced the accuracy of estimation, but it has not yet implemented in large scale antenna systems to evaluate the performance.…”

Section: Introductionmentioning

confidence: 99%

Two-Dimension Direction-of-Arrival Estimation for Massive MIMO Systems

Wang

et al. 2015

IEEE Access

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With the rapid development of wireless communication networks, the need of massive Multiple-Input Multiple-Output (MIMO) to offer sufficient network capacity has become evident. As a part of array signal processing, direction-of-arrival (DoA) estimation is of vital importance to obtain directional information of sources and to enable the 3-D beamforming. In this paper, the performance of DoA estimation for massive MIMO systems is analyzed and compared using a low complexity algorithm. To be specific, 2-D unitary estimation of signal parameters via rotational invariance techniques (U-ESPRIT) algorithm is studied to jointly estimate elevation and azimuth information, and uniform rectangular array is selected to represent massive MIMO systems. The simulation results indicate that the U-ESPRIT algorithm works well for the massive MIMO systems. The performance has been evaluated with various types of antenna configuration and source numbers. Finally, the array resolution is adopted to analyze the performance of elevation and azimuth estimation and how to choose the appropriate antenna array configuration. INDEX TERMSDoA estimation, unitary ESPRIT, massive MIMO, array resolution.

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A Novel AWSF Algorithm for DOA Estimation in Virtual MIMO Systems

Cited by 12 publications

References 24 publications

Achieving QoS in Virtual MIMO systems: a satisfaction equilibrium analysis

Achieving QoS in Virtual MIMO systems: a satisfaction equilibrium analysis

Wearable Sensor Localization Considering Mixed Distributed Sources in Health Monitoring Systems

Two-Dimension Direction-of-Arrival Estimation for Massive MIMO Systems

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