Compression Analysis of Automotive Radar Raw Data

Abstract

Automotive radar system is one of the most important components of the advanced vehicle support systems. Basically, it stands out from other sensors with its capability of being less affected by weather conditions and precise range and speed measurement. Multiple radar sensors are used for precise detection and full coverage for near and far range. By using multiple radar sensors in the vehicle, precise detection and full coverage are provided at near and far range. Processing data received from multiple sensors in a single center enables both the commonality of data and the creation of higher capacity signal processing capabilities. For this purpose, a central processing analysis of the compression of radar raw data with the JPEG 2000 method was carried out. JPEG 2000 method with low loss for high compression ratios can be provided via hardware accelerators. In these analyses, image evaluation tools such as peak SNR and mean squared error, as well as the distortions in radar parameters such as range and speed estimation have been observed. It was determined that for the compression rates of up to 70%, there was no consequential decline in radar detection performance.