Performance Analysis of Blind Equalization Algorithms for Broadcast Channel
| dc.contributor.advisor | Dereje, Hailemariam (PhD) | |
| dc.contributor.author | Nebiyu, Nane | |
| dc.date.accessioned | 2020-11-24T05:25:10Z | |
| dc.date.accessioned | 2023-11-28T14:09:13Z | |
| dc.date.available | 2020-11-24T05:25:10Z | |
| dc.date.available | 2023-11-28T14:09:13Z | |
| dc.date.issued | 2017-11 | |
| dc.description.abstract | Wireless channels exhibit multipath and time dispersion that lead to attenuation and inter-symbol interference (ISI). In order to compensate the effect of ISI caused by channels, equalization techniques are introduced on receiver ends. The increasing demand for high-speed data transmission over band limited channels makes the applications of training-based equalization methods more challenging due to constant transmission of the pilot signals/training sequences which consumes a lot of bandwidth and power. Blind equalizations, a category of equalization techniques, requires no training sequences to track and compensation the effect of ISI channel. These equalizations are applicable in many practical areas such as audio broadcasting in which training-based equalizations are not mainly applied and use only the received signals to equalize the channel. This thesis focuses on the performance analysis of three blind equalization techniques; namely, Variable Step Size Constant Modulus Algorithm (VSS-CMA), Decision Feedback Equalizer Constant Modulus Algorithm (DFE-CMA) and joint VSSCMA-Decision Directed Least Mean Square (DDLMS) algorithm for application in audio broadcasting. To ease visualization of results and see the effect of changing various parameters a Graphical User Interface (GUI) is developed. Comparison of the results of the above three blind equalization algorithms were compared with two additional blind equalization algorithms: Constant Modulus Algorithm (CMA) and Multi Modulus Algorithm (MMA). The simulation results are evaluated using Mean Square Error (MSE), symbols constellation plots, convergence rate, computation time and complexity as performance metrics. Rectangular 16-Quadrature Amplitude Modulation (QAM) scheme, ISI channel with Additive White Gaussian Noise and three other channel models for GUI simulation are considered. | en_US |
| dc.identifier.uri | http://etd.aau.edu.et/handle/12345678/23457 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | Addis Ababa University | en_US |
| dc.subject | Broadcast Channel | en_US |
| dc.subject | Blind Equalization | en_US |
| dc.subject | Blind Equalization Algorithms | en_US |
| dc.title | Performance Analysis of Blind Equalization Algorithms for Broadcast Channel | en_US |
| dc.type | Thesis | en_US |