@PhdThesis{diss_mods_00010865,
  author = 	{Schreiber, Kathrin},
  title = 	{Joint Communication and Positioning based on Interleave-Division Multiplexing},
  year = 	{2013},
  publisher = 	{Christian-Albrechts-Universit{\"a}t zu Kiel},
  address = 	{Kiel},
  keywords = 	{communication; positioning; navigation; radiolocation; parameter estimation; channel estimation; optimisation; interleave-division multiplexing; pilot layer aided channel estimation; time of arrival; multilateration; soft information; Kommunikation; Positionierung; Parametersch{\"a}tzung; Kanalsch{\"a}tzung; Optimierungsverfahren; Pilotlayer basierte Kanalsch{\"a}tzung; Signalankunftszeit; Zuverl{\"a}ssigkeitsinformation},
  abstract = 	{Interest in joint communication and positioning is steadily increasing because the combination
of both techniques offers a wide range of advantages. On the one hand, synergy effects
between communication and positioning like enhanced resource allocation can be exploited.
On the other hand, new applications are enabled. Examples comprise a wide area of interest
and include the automated localisation of emergency calls, tracking and guiding fire fighters or
policemen on a mission, monitoring people with special needs in a hospital or a nursing home,
asset tracking, location-based services and so forth. However, it is a challenging task to combine
communication and positioning because their prerequisites are quite different. On the one
hand, high data rates with little training overhead and low bit error rate are desirable for communication.
On the other hand, localisation aims at precise position estimates. Much training
is typically spent for that purpose. Given a single transmit signal supporting communication as
well as positioning, it is very difficult to fulfil all requirements at the same time. Hence, a flexible
configuration is desirable for a joint communication and positioning system with a unified signal
structure in order to adjust the tradeoff between both parts to the instantaneous needs.
In this thesis, a new system concept for joint communication and positioning with a unified signal
structure is proposed and investigated. The system concept is based on interleave-division
multiplexing (IDM) in combination with pilot layer aided channel estimation (PLACE) and multilateration
via the time of arrival (TOA). On the one hand, IDM seems to be a suitable candidate
for a joint communication and positioning system because of its flexible but simple transmitter
structure. On the other hand, multilateration via the TOA enables precise localisation. The
connection between the communication and the positioning part is accomplished via an enhanced
PLACE unit. Through the incorporation of a channel parameter estimator, not only the
channel coefficients of the equivalent discrete-time channel model, that are needed for data
detection, but also parameters of the physical channel, that are required for positioning, can
be estimated. A priori information about pulse shaping and receive filtering is exploited for that
purpose.
The main aim of this thesis is to show the feasibility of the proposed joint communication and
positioning system. Hence, a fundamental system setup is analysed systematically. Since many
applications of joint communication and positioning are located in urban or indoor environments,
a very high positioning accuracy in the centimetre region is desirable. Unfortunately,
positioning is most challenging in these environments due to severe multipath propagation. In
order to achieve the required accuracies, the positioning part of the proposed system concept
can be complemented by other localisation sources like GPS/Galileo and/or motion sensors via
sensor fusion. However, the stand-alone performance of the proposed joint communication and
positioning system is evaluated by means of Monte Carlo simulations in this thesis. The achieved
results are compared to performance limits in terms of Cramer-Rao lower bounds. In order
to improve the overall system performance and to enable sensor fusion, soft information with
respect to the parameter as well as the position estimates is taken into account. The accuracy
of the soft information is analysed with the help of curvature measures. Altogether, promising
results are obtained.},
  url = 	{https://macau.uni-kiel.de/receive/diss_mods_00010865},
  file = 	{:https://macau.uni-kiel.de/servlets/MCRFileNodeServlet/dissertation_derivate_00004641/diss_schmeink.pdf:PDF},
  language = 	{en}
}