Direction-of-Arrival Estimation Projects for M.E, M.Tech, Masters, MS abroad, and PhD students. These Direction-of-Arrival Estimation ieee projects are implemented with future work and extension for final year project submission with research paper publishing. These research projects guide final year students to learn, practice, and complete their academic submissions successfully. Each project includes complete source code, project report, PPT, a tutorial, documentation, and a research paper.
Latest Direction-of-Arrival Estimation Projects
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A Novel Three-Dimensional Direction-of-Arrival Estimation Approach Using a Deep Convolutional Neural Network
This project focuses on finding the direction from which signals come in a three-dimensional space. It uses a special type of artificial intelligence called a deep convolutional neural network to analyze data from a small antenna array. The system can accurately predict angles from any direction, even when multiple signals arrive at the same time. The goal is to make signal detection faster, precise, and reliable in different conditions. -
Efficient Embedded Fixed-Point Direction of Arrival Method
This project develops a method to locate Bluetooth devices indoors using radio signals. It focuses on small, low-power devices that cannot perform complex calculations easily. The researchers created a simpler, energy-efficient algorithm that quickly estimates the direction of signals with high accuracy. Experiments show it works much faster and uses less energy than traditional methods while keeping precise angle measurements.
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