Heat, vibration, dust, salt spray, weather - taking wireless positioning to the extreme

Millner, H.; Gulden, Peter; Roehr, S.; Christmann, Mark; Vossiek, Martin

doi:10.1109/wisnet.2013.6488631

Cited by 7 publications

(3 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The technology is widely used in logistics to track the vehicles transporting the inventory. Collision avoidance solutions also can be build around the positioning results to reliably avoid the collision of two cranes on the same rail (1D) or forklifts and other infrastructure (2D) [1], [10], [12].…”

Section: Applications and Measurement Resultsmentioning

confidence: 99%

“…In the following an RTOF based and an inverse TDOA (ITDOA) based approach are discussed. 2D-positioning enables many exciting industrial applications [1], e.g. tracking of van carriers in container yards, tracking of forklifts in storage areas or collision avoidance systems for free moving vehicles.…”

Section: D-positioningmentioning

confidence: 99%

“…Competing GPS solutions often suffer from obstructed line-of-sight conditions in industrial applications. Wireless local positioning systems based on radar signals in the frequency range somewhere between 1GHz and 100GHz are therefore the best solution to positioning problems in industrial applications when robustness against environmental conditions, high reliability and high availability of the positioning information are of key importance [1].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Wireless local positioning - existing solutions and novel system concepts

Roehr

Gulden

Shmakov

et al. 2015

2015 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM)

Self Cite

View full text Add to dashboard Cite

We extend the conventional FMCW radar concept for primary radar systems to secondary radar systems. In the first setup we show how two radar devices are synchronized to each other in order to measure their 1D-distance to each other. We then present two methods to extend the system to multiple units thereby enabling the estimation of a 2D-position. Finally, we present a novel system configuration incorporating multiple receiving antennas to measure both the 1D-distance between the radar units and the angle of arrival of the radar signals. By measuring the distance and the angle of arrival the number of radar units required for 2D-positioning can be reduced significantly, thus enabling new applications.

show abstract

Section: Applications and Measurement Resultsmentioning

confidence: 99%

Section: D-positioningmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation