Radar interference has become a serious and multifaceted issue for the automotive industry due to the rapid growth of Frequency Modulated Continuous Wave (FMCW) sensors in modern vehicles. The dense deployment of radar sensors led to mutual jamming effects and, therefore, can be considered as a form of radio pollution. Fortunately, FMCW radar, by modulating information over both time and frequency domains simultaneously, benefits from multiple degrees of freedom for the separation of multiple transceived signals. However, in the absence of a common standard for sensor manufacturers, the interference effect is still a challenge. This research addresses the interference issue in FMCW radar by developing extensions for the existing solutions and technology. We focus our research on time domain processing using a Two Dimensional (2D) Autoregressive (AR) model, which is employed for estimation and reconstruction of affected parts of the signal. The 2D sampling technique was able to model the signal in a smaller regression window size with the same accuracy compared to the One Dimensional (1D) counterpart model. Further, the developed AR was equipped with dynamic sampling and sample substitution techniques to be able to act as an adaptive mitigator for various interference patterns in radar data. The designed mitigator was applied to several experimental signals collected from practical vehicle maneuvers to evaluate its mitigation performance. Results validated the capability of the Two Dimensional Autoregressive (2DAR) mitigator for recovering the detected signal towards its original form. In the second part of this work, the challenging problem of synchronization of multiple radars is studied for generating a controllable interfered signal and also developing a multi-radar measurement platform. However, a fully synchronized scenario demands an advanced and customized design, but with a simple frame-level synchronization, many aspects and capabilities of current radar sensors could be identified in this study. The framelevel synchronization led to the generation of a semi-controllable spread ghost target, which was later focused by the proposed compensation technique. Eventually, the ghost generation and compression processes are introduced as a possible solution for interference in limited environments.