This dissertation makes a contribution in the field of indoor positioning applications using concrete signal design for the forthcoming wireless communication systems. It focuses on the comparison of two alternative signal structures of OFDM and SCT, their structure designs, coding effects, and the transceiver design are considered for the indoor positioning applications. Furthermore, the TDOA method is considered specifically to estimate the distance in a real indoor environment due to its accuracy amongst all counterpart methods. Another major goal is to compare the super resolution algorithms and to propose the optimal one for increasing the accuracy in NLOS conditions. In order to accomplish these goals a joint OFDM and SCT transceiver is developed for the indoor positioning application. A modified criterion is also introduced for the DFE of the SCT, which decays exponentially and improves the decision performance at the equalization stage. Two different variants of CP are implemented for both the OFDM and the SCT signal structures. A variable length improved channel performance for the DFE implementations is achieved. A coding block is implemented on the combined OFDM/SCT transceiver, which brought an efficiency drift in the system. The ESPRIT, Root-MUSIC and MP algorithms are implemented on the real data sets to reduce the DME to be less than 1 meter. The estimation algorithms are applied at the CMWCE, University of Magdeburg for the captured data in two stages, known as WP1 and WP2. In WP1, the system consists of two antennas and is extended upto seven antennas in WP2. MDL and AIC are utilized as model order in WP1. In WP2, three variants of the MP algorithm using generalized pencil function, forward-backward averaging method and Hankel matrix method are introduced as MP1, MP2 and MP3 respectively. Furthermore three more model order criteria of EIG, Modified MDL and automatic model order selection are introduced. A new scheme based on two different antennas, transmitting OFDM/SCT symbols mapped to multiple carriers using WLAN system is introduced. The scheme increases the accuracy of the distance estimations and DME approaching to zero is achieved. An analysis for the effects of the varying SNR, variable bandwidth and varying the number of carriers on the DME estimation is also performed. The algorithms MP1-MDL and MP3-MDL achieve the most accurate estimation and are capable of tracking the position of the moving objects with efficiency and accuracy. Hence they can be embedded in any wireless positioning device.
Indoor Positioning , Time Difference of Arrival (TDOA), Orthogonal Frequency Division Multiplexing (OFDM),