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Daniel Frisch

Daniel Frisch

Wissenschaftlicher Mitarbeiter
Multilateration
Gruppe: FuseNetsGroup
Raum: CS
Tel.: +49 721 608-45249
daniel frischHhm2∂kit edu

Adenauerring 2

Gebäude 50.20

D-76131 Karlsruhe



Multilateration for Tracking of Airplanes

MLAT_geo
Geometry with two aircraft and five sensors. Signal propagation times are proportional to the euclidean distance between aircraft and sensors.
Assoc-Free-Tracking-RealData CSO
Timing diagram with two aircraft and five sensors, showing how the signal arrival times are formed.
Assoc-Free-Tracking-RealData CSO
Association-Free Multilateration on real dataset from Frequentis Comsoft.

Multilateration is a technique to estimate the position of a transmitter of propagating waves based on measurements taken from sensors at different distant positions. It is applied in radar, sonar, and radio astronomy, for example [TDOA_FKIE]. We set up the measurement equation that calculates the time of arrival (TOA) of the signal at a given sensor based on its distance to the source and the propagation velocity. When enough measurements are available, only one aircraft position can reproduce the encountered TOA. Sometimes we work with time differences of arrival (TDOA) which can be calculated via cross correlation of the sampled input signal. Current research at our institute covers multi target tracking [SPIE17_Hanebeck], synchronization-free localization [Fusion19_Frisch], and multi sensor data fusion [Fusion18_Radtke]. 

We estimate aircraft positions in datasets from our cooperation partner Frequentis Comsoft in Durlach. We develop advanced techniques to localize aircraft also in cases where it is problematic at present, like sensors with non-synchronized clocks, for example due to GPS breakdown, and when more than one aircraft send indistinguishable messages. 

 

 

At ISAS, we also apply multilateration to localize sound sources in experiments at the institute. With multiple directional sensors, we want to bridge multilateration and directional statistics [Fusion18_Li-SE2]. With new distributed information fusion algorithms, we want to merge directional measurements from multiple sensor nodes [MFI19_Radtke].
 

 

Contact: Daniel Frisch, Kailai LiBenjamin Noack 


Exercises
Titel Typ Semester Ort
Vorlesung (V) mit Übung (Ü) WS 18/19
Vorlesung (V) mit Übung (Ü) WS 17/18

Vorlesung: Raum -102, Gebäude 50.34
Übung: Raum SR 148, Gebäude 50.20



Seminars
Title Type Semester Person in Charge
Seminar WS 18/19 Daniel Mockenhaupt
Proseminar WS 18/19 Peter Christos Digas
Seminar SS 2018 Axel Trefzer
Seminar WS 17/18 Andre Langenstein
Proseminar WS 17/18 Stanislav Arnaudov


Completed Theses
Title Type Person in Charge
Bachelor thesis Stefano Miceli


Conference Presentations
Title Conference Authors Speaker Source

SDF 2018

Kailai Li, Daniel Frisch, Susanne Radtke, Benjamin Noack, and Uwe D. Hanebeck

Daniel Frisch

Paper



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