Abstract

As world is heading towards automation, performances required to satisfy standards and market needs are also\nincreasing drastically. In this scenario, validation of obtained data via simulation plays a vital role to verify correctness of\nsystem during design cycles. To cater these needs, we present in this paper about the assessment of automatic RAdio\nDetection And Ranging (RADAR) Software-In-the-Loop (SIL) data validity by correlation methods. Hence we place\nautomotive RADAR on various locations of car and detect vehicular information and thus obtained data is transmitted to\nElectronic Control Units (ECUs). ECU in turn takes appropriate actions on data to provoke active safety module through the\nSIL logins. Our aim is to prove that the real world data and the re-simulated data at the SIL output are fully correlated.\nMultivariable normalized Euclidean distance approach is utilized to determine whether any two targets are correlated using\nMicrosoft’s Visual Basics for Applications (VBA) Integrated Development Environment (IDE).