E-BLRC: An Efficient Bayesian Linear Regression with Cauchy Prior Algorithm for Automotive Radar

In this paper, we introduce an enhanced version of the Bayesian linear regression with Cauchy prior (BLRC) algorithm, as previously detailed in [1]. This refinement, termed efficient BLRC (E-BLRC), is specifically designed to satisfy the stringent demands for real-time processing and hardware compatibility in automotive radar systems. Utilizing a novel "soft pruning" technique, E-BLRC effectively balances computational and memory demands with the accuracy of target angle estimations, making it a practical and effective solution for solving direction-of-arrival (DoA) estimation problem in automotive radar.