Date of Award
Electrical and Computer Engineering
Shahrrava, Behnam (Electrical and Computer Engineering)
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
The performance of a multiple antenna wireless communication (WC) system depends significantly on the type of detection algorithm used at the receiver. This thesis proposes three different types of detection algorithms for single input multiple output (SIMO) systems and concludes with a comparative study of their performance in terms of bit error rate (BER). The proposed algorithms are based on the following classical methods: - Maximum Likelihood (ML) detection - Maximal Ratio Combining (MRC) scheme - Minimum Mean Square Error (MMSE) criterion detection The major challenge in any practical WC system is the imperfect knowledge of channel state information (CSI) and carrier frequency offset (CFO) at the receiver. The novel algorithms proposed in this thesis aim for optimal detection of the transmitted signal and are derived for a system in the presence of both CSI and CFO estimation errors. They can be treated as a generalized form of their respective type and it is mathematically shown that the conventional algorithms are a special case in the absence of the estimation error. Finally, the performance of the novel algorithms is demonstrated by exhaustive simulation for multi-level modulation techniques of phase shift keying (PSK) and quadrature amplitude modulation (QAM) with increasing values of estimation error variance.
Sinha, Shayondip, "New Detection Algorithms for Single Input Multiple Output Systems with Carrier Frequency Offset" (2012). Electronic Theses and Dissertations. 142.