Dissertation in the field of Signal Processing for Communications, Keijo Pölönen

2016-05-13 12:00:00 2016-05-13 16:00:00 Europe/Helsinki Dissertation in the field of Signal Processing for Communications, Keijo Pölönen The title of thesis is Signal Processing Methods for Multicarrier Passive Radar and Communication Systems. http://old.spa.aalto.fi/en/midcom-permalink-1e601731b2ba5ee017311e6a73cf9a54187ac20ac20 Otakaari 5A, 02150, Espoo

The title of thesis is Signal Processing Methods for Multicarrier Passive Radar and Communication Systems.

13.05.2016 / 12:00 - 16:00
lecture hall S1, Otakaari 5A, 02150, Espoo, FI

Passive radars are radar systems that operate without own dedicated transmitters and opportunistically utilize radio signals transmitted by other communication or broadcast systems to illuminate targets. Consequently, the target does not know that it is illuminated by a radar. In this thesis, computational methods have been devel-oped that use the multicarrier signals transmitted by the DVB-T2 digital television networks as radar signals. In addition to developing novel detection methods utilizing characteristic features of the DVB-T2 signal, the thesis addresses an association problem that is encountered in single-frequency networks, where multiple transmit-ters operate at the same carrier frequencies. This is a largely unexplored research topic but a key problem in passive radars utilizing single-frequency networks. The thesis proposes a novel method for the association of passive radar measurements to the correct transmitters. The research made in the thesis can benefit future passive radar systems by offering advanced methods for faster initial detection of target and measurement association with a small number of measurements per transmitter.
The thesis considers multicarrier signal processing also in the context of communi-cation systems. Computationally simplified methods are proposed for both signal pro-cessing in mobile multiantenna systems and channel estimation in ultra-wideband short-range communications. The developed algorithms can potentially benefit also other wideband multicarrier systems such as the 5G mobile networks of the future.

Opponents: Prof. Fulvio Gini, Università di Pisa, Italy and Prof. Mikko Valkama, Tampere University of Technology, Finland

Supervisor: Professor Visa Koivunen, Aalto University School of Electrical Engineering, Department of Signal Processing and Acoustics

Dissertation website

Contact information:
Keijo Pölönen
+358 45 167 3006
keijo.polonen@aalto.fi