Optimality analysis of sensor-target localization geometries

By A. Bishop, Baris Fidan, B.D.O. Anderson, K. Doğançay, Pubudu N. Pathirana. at - Automatisierungstechnik, 2010

463 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/3e9be0da68d1f065436dc456ad260fbe5571b1f5

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Baris Fidan
2. B.D.O. Anderson
3. Julien M. Hendrickx

In Computer Networks and Communications

1. B.D.O. Anderson
2. Baris Fidan
3. Julien M. Hendrickx
4. Francesco Bullo
5. Ming Cao
6. A. Stephen Morse
7. Wei Ren
8. Sonia Martínez

In Electrical and Electronic Engineering

1. Baris Fidan
2. B.D.O. Anderson

Citations in the corpus

• Closing ranks in rigid multi‐agent formations using edge contraction (2010, background): “…angle of arrival data or time difference of arrival information is best achieved (in the sense of minimizing localization error) when the UAVs are located at the vertices of a regular polygon [ 12–14 ] . keeping This objective can be achieved by explicitly some inter-agent distances constant.”