The aim of this thesis is to estimate angle of arrival (AOA) for multi-users, in a multipath envi... more The aim of this thesis is to estimate angle of arrival (AOA) for multi-users, in a multipath environment, for long term evolution (LTE) networks in uplink, using multi-input, multi-output (MIMO) technology. Three main challenges are faced to achieve this aim and we propose methods to address these challenges. First, due to multi-path environment, other paths exist besides line of sight between transmitter and receiver and thus pairing AOAs and path delays is an important issue for a particular user. We propose a two dimensional ESPRIT algorithm to estimate AOAs and path delays in pair. Secondly, multi-user transmitted signals arrive at the receiver simultaneously. Therefore, it is important to separate each user signal from other users signals, in order to estimate AOAs for each user. We used the properties of Zadoff-Chu sequences to separate each user signals from other users. Afterwards, the AOAs are estimated for each user. Finally, a channel model is needed which carries information about physical parameters such as AOAs and propagation delays. The channel model used in LTE Release 9 do not carry information about these physical parameters. Therefore, we used a state of the art Spatial Channel Model-Extended (SCM-E) which contains information about physical parameters such as AOAs and propagation delays. We used signal processing techniques such as low-pass filtering, bandlimiting, and discrete Fourier transform (DFT) to formulate our channel model similar to a conventional array signal processing model, so that the AOA estimation method such as 2D-ESPRIT can be applied to our channel model to estimate AOAs.
The aim of this thesis is to estimate angle of arrival (AOA) for multi-users, in a multipath envi... more The aim of this thesis is to estimate angle of arrival (AOA) for multi-users, in a multipath environment, for long term evolution (LTE) networks in uplink, using multi-input, multi-output (MIMO) technology. Three main challenges are faced to achieve this aim and we propose methods to address these challenges. First, due to multi-path environment, other paths exist besides line of sight between transmitter and receiver and thus pairing AOAs and path delays is an important issue for a particular user. We propose a two dimensional ESPRIT algorithm to estimate AOAs and path delays in pair. Secondly, multi-user transmitted signals arrive at the receiver simultaneously. Therefore, it is important to separate each user signal from other users signals, in order to estimate AOAs for each user. We used the properties of Zadoff-Chu sequences to separate each user signals from other users. Afterwards, the AOAs are estimated for each user. Finally, a channel model is needed which carries information about physical parameters such as AOAs and propagation delays. The channel model used in LTE Release 9 do not carry information about these physical parameters. Therefore, we used a state of the art Spatial Channel Model-Extended (SCM-E) which contains information about physical parameters such as AOAs and propagation delays. We used signal processing techniques such as low-pass filtering, bandlimiting, and discrete Fourier transform (DFT) to formulate our channel model similar to a conventional array signal processing model, so that the AOA estimation method such as 2D-ESPRIT can be applied to our channel model to estimate AOAs.
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Papers by Habib Ullah