This is the 2nd article in our MAFAT Radar competition series, where we take an in-depth look at the different aspects of the challenge and our approach to it. If you want a recap, check out this post.
Let’s jump straight in.
The competition organizers give a clear explanation of the data they provide:
The dataset consists of signals recorded by ground doppler-pulse radars. Each radar “stares” at a fixed, wide area of interest. Whenever an animal or a human moves within the radar’s covered area, it is detected and tracked. The dataset contains records of those tracks. The tracks in the dataset are split into 32 time-unit segments. Each record in the dataset represents a single segment. A segment consists of a matrix with I/Q values and metadata. The matrix of each segment has a size of 32x128. The X-axis represents the pulse transmission time, also known as “slow-time”. The Y-axis represents the reception time of signals with respect to pulse transmission time divided into 128 equal sized bins, also known as “fast-time”. The Y-axis is usually referred to as “range” or “velocity”
The following datasets were provided:
- 5 CSV files (Training set, Public Test set, and Auxiliary set (3 files)) containing the metadata,
- 5 pickle files (serialized Python object…
