DOA algorithm implementation by using HFSS to improve the accuracy of ADAS applications

Autor: Huthayfa Alimoor, Xiao Nan Chen, Jehangir Arsahd
Rok vydání: 2022
Popis: Traffic safety is one of the essential fundamentals in the field of ‘advanced driver assistance systems (ADAS)’ vehicles. Moreover, these vehicles became popular among many people due to their safety, reliability, and ability to follow traffic rules. Therefore, many car companies seek to improve their safety and intelligence capabilities by conducting experiments in expected and unexpected circumstances. Thus, roads dedicated to these vehicles are being built in many countries to support these industries; However, many of these experiments remain challenging to conduct in certain conditions, especially when various possibilities demand many trials to practice dealing with them. This study uses the ANSYS HFSS algorithm to simulate an ‘ADAS’ scenario. The simulation data will then be extracted and analyzed in MATLAB to determine the ‘direction of arrival (DOA)’ by using the well-known algorithm ‘multiple signal classification (MUSIC)’. After implementing the ‘MUSIC’ algorithm, the results showed high accuracy in determining the ‘DOA’. This research demonstrates that simulation results have a promising potential for accelerating the development of safe autonomous vehicular technology. The same methodology applies to developing new cellular communication technologies such as 5G and 6G antenna beamforming technology.
Databáze: OpenAIRE