| dc.description.abstract | This research investigates the functioning of radar systems that use Multiple Input Multiple Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) radar systems. Particularly, the investigation focuses on scenarios where different sequences are chosen as transmission signals, and the corresponding error detection probabilities are evaluated. Mutual interference often arises when multiple users operate within the same frequency band and timeframe. Furthermore, the prevalent phenomenon of multipath propagation in wireless communication systems introduces additional complexity due to multipath interference. As a result, whether the system operates synchronously or asynchronously, adopting sequences with ideal autocorrelation and cross-correlation functions becomes imperative to mitigate the aforementioned intricate interference challenges effectively. This research employs a systematic approach, encompassing simulations, experimentation, and analysis, to provide insights into the practical performance of the radar system and to better comprehend and address the difficulties and challenges posed by a MIMO-OFDM radar system.
The focal points of this thesis encompass several vital aspects. Firstly, the study examines algorithms designed for target detection. Subsequently, four distinct transmission sequences are introduced, including Zadoff-Chu sequences, Gold codes, M-sequences, and Gaussian integer sequences. Then, simulations are conducted using MATLAB, and experiments are executed utilizing the USRP software-defined radio platform. The outcomes of these simulations and implementations are further discussed about the cross-correlation and autocorrelation of the respective sequences. | en_US |