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Moving Sensor Tracking using Radio Interferometric Positioning System Measurements
- Source :
- 2018 14th IEEE International Conference on Signal Processing (ICSP).
- Publication Year :
- 2018
- Publisher :
- IEEE, 2018.
-
Abstract
- In this work, we study the case of tracking a moving sensor using the radio interferometric positioning system measurements. The system consists of four wireless network nodes and it measures the sum of signal phase differences between two receivers while the other two are transmitting sine waves at close frequencies. With the locations of three sensors known, we can estimate the fourth sensor moving trajectory from a sequence of phase measurements using a nonlinear filter. Two nonlinear filters, a natural gradient Kalman filter and a extended Kalman filter, are investigated and implemented for this moving sensor tracking problem. The performances of them are compared in a computer simulated tracking experiment.
- Subjects :
- Positioning system
Noise measurement
Computer science
Acoustics
020206 networking & telecommunications
02 engineering and technology
Kalman filter
Tracking (particle physics)
Nonlinear system
Extended Kalman filter
Interferometry
Sine wave
Nonlinear filter
0202 electrical engineering, electronic engineering, information engineering
Trajectory
020201 artificial intelligence & image processing
Wireless sensor network
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2018 14th IEEE International Conference on Signal Processing (ICSP)
- Accession number :
- edsair.doi...........cfd75e5e54081a353ce46b475eb4dc5a