Date of Award


Publication Type

Master Thesis

Degree Name



Electrical and Computer Engineering

First Advisor

Shahrrava, Behnam (Electrical and Computer Engineering)


Electrical engineering.



Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.


This thesis emphasizes the unexploited challenges in an unsynchronized space-time block coded (STBC) system. This research involves the unknown Rayleigh fading channel parameters and the carrier frequency offset (CFO) at the receiver. Plenty of research has been done on the optimal estimation of these parameters over the period of time. Considering a practical receiver system with a non-ideal estimator leads to the necessity of introducing the erroneous estimates of these unknown parameters into the detection algorithm. It is therefore necessary to augment the existing conventional detectors, such as maximum likelihood (ML), maximal ratio combiner (MRC) and minimum mean square error (MMSE). This work is an extension of these conventional detection schemes, which will make the proposed detectors capable of overcoming the challenge of mismatch scenario. The proposed detectors are designed to optimize the output at the receiver, for various estimation error variances of the uncertainties. Extensive simulation results demonstrate that the proposed schemes outperform conventional detectors. The performance of these proposed detectors is analyzed by plotting the bit error rate (BER) over signal to noise ratio (SNR) curves for various modulation schemes, such as M-PSK and M-QAM. At the end, the computational complexities of the proposed detectors from the implementation point of view is discussed briefly.