Stochastic Optimization in Target Positioning and Location-based Applications (2021)
Abstract / truncated to 115 words
Position information is important for various applications, including location-aware communications, autonomous driving, industrial internet of things (IoT). Geometry-based techniques such as time-of-arrival (TOA), time-difference-of-arrival (TDOA), and angle-of-arrival (AOA) are widely used and can be formed as optimization problems. In order to solve these optimization problems efficiently, stochastic optimization methods are discussed in this work in solving target positioning problems and tackling key issues in location-based applications. Firstly, the direction of arrival (DOA) estimation problem is studied in this work. Grid search is useful in the algorithms such as maximum likelihood estimator (MLE), MUltiple SIgnal Classification (MUSIC), etc. However, the computational cost is the main drawback. To speed up the search procedure, we implement random ferns ...
positioning – stochastic optimization – gesture recognition – CRLB – angle of arrival – phase difference
Information
- Author
- Chen, Hui
- Institution
- King Abdullah University of Science and Technology
- Supervisor
- Publication Year
- 2021
- Upload Date
- March 13, 2025
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