Target simulation for UHF RFID DoA estimation systems

Abstract. In this work a new method for the evaluation of UHF RFID Direction of Arrival (DoA) estimation systems is developed and demonstrated. Instead of simulating the system performance or manually measuring it in realistic or ideal environments, a method for the evaluation of DoA systems using received signals produced by a target simulator is proposed. The simulator generates the signals for each channel of the DoA estimator by attenuating and phase shifting the signals of an UHF RFID chip to replicate the signal propagation conditions for a chosen tag distance and arrival angle. This combines the advantages of the simulative approach and real world evaluation: it is fast, reproducible and doesn't require special measurement environments. To facilitate this method, plane and spherical wave signal models for the simulation of RFID targets are derived, multichannel phase-shifting and attenuation hardware for the simulation of such signals is presented and a demonstrative evaluation of a RFID DoA estimation system is performed, replicating evaluation scenarios in non reflective and multipath environments.

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A Nature-Inspired Metaheuristic Approach for Generating Alternatives

Advanced Methodologies and Technologies in Business Operations and Management - Advances in Logistics, Operations, and Management Science ◽

10.4018/978-1-5225-7362-3.ch054 ◽

2019 ◽

pp. 722-733

Author(s):

Julian Scott Yeomans

Keyword(s):

Decision Making ◽

Mathematical Programming ◽

Real World ◽

System Performance ◽

Firefly Algorithm ◽

Multiple Solution ◽

Performance Criteria ◽

Design Issues ◽

Solution Approach ◽

Design Requirements

“Real-world” decision making often involves complex problems that are riddled with incompatible and inconsistent performance objectives. These problems typically possess competing design requirements which are very difficult—if not impossible—to quantify and capture at the time that any supporting decision models are constructed. There are invariably unmodeled design issues, not apparent during the time of model construction, which can greatly impact the acceptability of the model's solutions. Consequently, when solving many practical mathematical programming applications, it is generally preferable to formulate numerous quantifiably good alternatives that provide very different perspectives to the problem. This solution approach is referred to as modelling to generate alternatives (MGA). This study demonstrates how the nature-inspired firefly algorithm can be used to efficiently create multiple solution alternatives that both satisfy required system performance criteria and yet are maximally different in their decision spaces.

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RFThermometer: A Temperature Estimation System with Commercial UHF RFID Tags

ICC 2019 - 2019 IEEE International Conference on Communications (ICC) ◽

10.1109/icc.2019.8761625 ◽

2019 ◽

Cited By ~ 1

Author(s):

Xiangyu Wang ◽

Jian Zhang ◽

Zhitao Yu ◽

Eric Mao ◽

Senthilkumar C. G. Periaswamy ◽

...

Keyword(s):

Rfid Tags ◽

Uhf Rfid ◽

Temperature Estimation ◽

Estimation System

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A Broadband Array Signal Processing Method Based on Joint Sparsity of Signal Spatial Domain

Volume 7A: Ocean Engineering ◽

10.1115/omae2019-95530 ◽

2019 ◽

Author(s):

Daqian He ◽

Dahai Zhang ◽

Congying Wang ◽

Xirui Peng

Keyword(s):

Signal Processing ◽

Frequency Domain ◽

Acoustic Signal ◽

Array Signal Processing ◽

Doa Estimation ◽

Spatial Domain ◽

Processing Method ◽

Arrival Angle ◽

Joint Sparsity ◽

Signal Processing Method

Abstract Broadband underwater acoustic signal direction of arrival (DOA) estimation method is an important part of underwater array signal processing. The commonly used array signal DOA estimation algorithms due to the restriction of algorithm principles, are unable to process broadband array signal effectively, at the case of the arriving signals have strong correlation, small sampling snapshots or small arrival angle. Therefore, we need a new efficient algorithm to meet the increasing demand of broadband under water acoustic signal processing method. This paper makes use of the broadband acoustic signal similarity of joint sparsity in signal spatial domain received by underwater sonar arrays, establishes the whole space grid covering all broadband frequency domain slices. On the basis, the global sparsity of each frequency domain slice is combined with sparse element extraction class algorithm. By integrating the energy of signal on each slice, the spatial sparsity of each slice is obtained, from which we can get the directions of the arriving broadband wave signals. Through the simulation analysis and experimental verification on lake, we can be see that: The SDJS algorithm improves the performance and signal processing capability of the algorithm compared with the traditional algorithms. Therefore SDJS algorithm has a widely range of research value and application space.

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