Kimin Kim
Tue 11 Apr 2017, 13:00 - 13:30
AGB Seminar Room AGB Building, King’s Buildings, EH9 3JL

If you have a question about this talk, please contact: Aryan Kaushik (s1580884)

Image for Simultaneous tracking and long time integration for detection in collaborative array radars

Kimin Kim is a 3rd year PhD student in the School of Engineering at The University of Edinburgh, UK.

Abstract:

In this work, we focus on the detection of manoeuvring low signal to noise ratio (SNR) objects in multiple collaborating radars. Collaboration involves having the knowledge of the locations of the transmitters and their transmission characteristics up to a synchronisation term which has to be estimated during the operation. We propose a local processing algorithm, which performs simultaneous trajectory estimation and long time integration of pulse returns in both the local channel and the remote channels. The synchronisation of the remote channels is achieved by simultaneously diverting beams towards both the tested point of detection and the transmitters. Detection is made by using a Neyman-Pearson test. Overall, this scheme enables us to exploit a statistical MIMO effect for the objects in the field of view and integrate multiple pulse returns while taking into account the object trajectory leading to the capability of detecting low SNR and manoeuvring objects. We demonstrate the efficacy of our approach through simulations.

Biography:

Kimin Kim is a 3rd year PhD student in the School of Engineering at The University of Edinburgh, UK. He obtained his MSc in Control Systems Engineering at The University of Sheffield, UK in 2012. Currently, he is pursuing a PhD project with the UDRC in Distributed Detection for Work Package 2 under the supervision of Dr Murat Uney and Prof. Bernie Mulgrew.