Design and Optimization of Sparse Planar Antenna Arrays for Wireless 3-D Local Positioning Systems

Павленко, Татьяна Борисовна; Reustle, Christoph; Dobrev, Yassen; Gottinger, Michael; Jassoume, Laila; Vossiek, Martin

doi:10.1109/tap.2017.2759838

Cited by 19 publications

(12 citation statements)

References 29 publications

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“…At each remote station, a planar sparse array [23] consisting of eight receiving elements arranged as shown in Figure 5 was deployed. Coherency among the channels was established by down-converting all channels of one remote station with the same local ramp.…”

Section: Measurement Setup and Resultsmentioning

confidence: 99%

“…Therefore, in this paper, spatially distributed antennas are used to determine the position based solely on angle-of-arrival (AOA). To facilitate this, planar sparse arrays [23] are deployed, and the receiving channels are down-mixed coherently. Calibration [24] removes all unwanted phase shifts due to hardware imperfections, such as receive channel length mismatches.…”

Section: Wireless Localization Systemmentioning

confidence: 99%

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A Wireless Angle and Position Tracking Concept for Live Data Control of Advanced, Semi-Automated Manufacturing Processes

Lipka

Meinel²,

Müller³

et al. 2020

Sensors

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Despite recent industrial automation advances, small series production still requires a considerable amount of manual work, and training, and monitoring of workers is consuming a significant amount of time and manpower. Adopting live monitoring of the stages in manual production, along with the comprehensive representation of production steps, may help resolve this problem. For ergonomic live support, the overall system presented in this paper combines localization, torque control, and a rotation counter in a novel approach to monitor of semi-automated manufacturing processes. A major challenge in this context is tracking, especially hand-guided tools, without the disruptions and restrictions necessary with rigid position encoders. In this paper, a promising measurement concept involving wireless wave-based sensors for close-range position tracking in industrial surroundings is proposed. By using simple beacons, the major share of processing is transferred to fixed nodes, allowing for reduced hardware size and power consumption for the wireless mobile units. This requires designated localization approaches relying on only relative phase information, similar to the proposed Kalman-filter-based-beam-tracking approach. Measurement results show a beam-tracking accuracy of about 0.58 ∘ in azimuth and 0.89 ∘ in elevation, resulting in an overall tracking accuracy of about 3.18 cm.

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Section: Measurement Setup and Resultsmentioning

confidence: 99%

Section: Wireless Localization Systemmentioning

confidence: 99%

A Wireless Angle and Position Tracking Concept for Live Data Control of Advanced, Semi-Automated Manufacturing Processes

Lipka

Meinel²,

Müller³

et al. 2020

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

“…Furthermore, beamformers require relatively small arrays in order to maintain unambiguousness [26]. For the proposed algorithm, unambiguousness is achieved by elaborate choice of array size and update rate, or if this is not possible, by observing the covariance P k|k over time.…”

Section: E Interpretation and Advantagesmentioning

confidence: 99%

“…3. It consists of three fixed radar stations [27], each equipped with a sparse array of 8 receive antennas [26], originally intended for beamforming, and a smaller mobile transmitter with one transmit channel. The position and tilt of the individual fixed radar stations are determined in-situ before measurement.…”

Section: A Experimental Setupmentioning

confidence: 99%

An Extended Kalman Filter for Direct, Real-Time, Phase-Based High Precision Indoor Localization

2019

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Radio-based indoor localization is currently a very vibrant scientific research field with many potential use cases. It offers high value for customers, for example, in the fields of robotics, logistics, and automation, or in context-aware IT services. Especially for autonomous systems, dynamic human-machine interaction, or augmented reality applications, precise localization coupled with a high update rate is a key. In this paper, we present a completely novel localization concept whereby received radio signal phase values that are fed into an extended Kalman filter (EKF) without any preprocessing are evaluated. Standard preprocessing steps, such as angle-of-arrival estimation, beamforming, and time-of-flight or time-differenceof-arrival estimations are not required with this approach. The innovative localization concept benefits from the high sensitivity of radio signals' phase to distance changes and the fast and straightforward recursive computation offered by the EKF. It completely forgoes the computational burden of other phase-based high-precision localization techniques, such as synthetic aperture methods. To verify the proposed method, we use an exemplary setup employing a 24 GHz frequency-modulated continuous-wave (CW) single-input multiple-output secondary radar with 250 MHz bandwidth. A high-precision six-axis robotic arm serves as a 3D positioning reference. The test setup emulates a realistic industrial indoor environment with significant multipath reflections. Despite the challenging conditions and the rather low bandwidth, the results show an outstanding localization 3D RMSE of around 1.7 cm. The proposed method can easily be applied to nearly any type of radio signal with CW carrier and is an attractive alternative to common multilateration and multiangulation localization approaches. We think it is a quantum leap in wireless locating, as it has the potential for precise, simple, and low-cost wireless localization even with standard narrowband communication signals. INDEX TERMS FMCW, radar, localization, extended Kalman filter, near field, indoor.

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“…Such an optimization method proposed in the present study is a novel variant of the well-known Particle Swarm Optimization (PSO) method [6]- [35], called PSO with velocity mutation (PSOvm). PSOvm employs a mutation mechanism in order to cause perturbation on the velocities of those particles, which are not able to improve their fitness.…”

Section: Max Minmentioning

confidence: 99%

Optimal LTE-Protected LPDA Design for DVB-T Reception Using Particle Swarm Optimization With Velocity Mutation

Zaharis

Gravas

Lazaridis

et al. 2018

IEEE Trans. Antennas Propagat.

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A near-optimal design of a log-periodic dipole array (LPDA), suitable for DVB-T reception (470-790 MHz), is presented. The LPDA is required to provide low standing wave ratio as well as high-gain radiation pattern with sufficient gain flatness over the entire passband, and concurrently achieve low gain for frequencies above 800 MHz to reject LTE800 signals and thus improve the reception quality in the DVB-T band. All the above requirements are better satisfied by applying a novel particle swarm optimization (PSO) variant, called PSO with velocity mutation (PSOvm). PSOvm induces mutation on the velocities of those particles, which are unable to improve their fitness. As shown in this paper, PSOvm comes closer to the above requirements compared to four well-known optimization methods and outperforms the traditional LPDA design method proposed by Carrel. The LPDA geometry chosen for optimization is not the conventional one and therefore the dipoles are not considered to be included inside a specified angle as proposed by Carrel. Thus, the dipole lengths and distances as well as the boom dimensions are independently optimized. The PSOvm-based LPDA sufficiently meets all the above requirements and thus is suitable for DVB-T reception without the use of an external LTE-band rejection filter.

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Design and Optimization of Sparse Planar Antenna Arrays for Wireless 3-D Local Positioning Systems

Cited by 19 publications

References 29 publications

A Wireless Angle and Position Tracking Concept for Live Data Control of Advanced, Semi-Automated Manufacturing Processes

A Wireless Angle and Position Tracking Concept for Live Data Control of Advanced, Semi-Automated Manufacturing Processes

An Extended Kalman Filter for Direct, Real-Time, Phase-Based High Precision Indoor Localization

Optimal LTE-Protected LPDA Design for DVB-T Reception Using Particle Swarm Optimization With Velocity Mutation

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