Two Kalman Models for Chirp-Sequence Radar Data Filtering of a Periodically Moving Hand for Conducting a Virtual Orchestra
- Resource Type
- Conference
- Authors
- Schafer, Lisa-Franziska; Kozlov, Dmitrii; Ohrnberger, Morris; Ott, Peter
- Source
- 2020 21st International Conference on Research and Education in Mechatronics (REM) Research and Education in Mechatronics (REM), 2020 21st International Conference on. :1-6 Dec, 2020
- Subject
- Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
General Topics for Engineers
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Kalman filters
Radar
Mathematical model
Velocity measurement
Frequency measurement
Time measurement
Data models
FMCW radar
chirp sequence radar
kalman filter
virtual orchestra
conducting
- Language
In this paper two Kalman filter models are presented to filter a signal of a FMCW radar sensor. The measurement object is a rhythmic hand movement of a conductor. From the radar signal we get the distance and velocity. The models are intended to correct the noisy signal for later analysis of frequency and phase so that the tempo and beat of the conductor can be estimated. We evaluate and compare the models with simulated and real data from a chirp-sequence radar sensor.