TIME DIFFERENCE OF ARRIVAL (TDOA) LOCALISATION

Time difference of arrival (TDOA) is an estimation method for target localisation. Repository contains Python3 scripts for:

• Cramer-Rao Lower Bound for unbiased target estimation,
• Maximum-Likelihood estimation using gradient descent,
• Best-Linear-Unbiased estimation.

Documentation

docs/instructions.pdf contains the necessary instructions for the assignment. docs/solutions.pdf contains theory and algorithms.

Installation

Clone this repository and install the requirments using

git clone https://github.com/kamath-abhijith/TDOA_Localisation
conda create --name <env> --file requirements.txt

Run

• data/TDOA_data.mat contains the data. See data/README_hw1 for the structure.
• Run tdoa_ml.py to generate Figure 1(a).
• Run tdoa_blue.py to generate Figure 1(b).
• Run tdoa_montecarlo.py to generate Figure 2.