Pérez Santacruz, JavierJavierPérez SantacruzRomme, JacJacRommeZhang, XuebingXuebingZhangVenialgo Araujo, EstebanEstebanVenialgo AraujoDahlem, MarcusMarcusDahlemOldenbeuving, RuudRuudOldenbeuving2025-06-022025-06-022025978-1-5106-8494-20277-786XWOS:001488199800020https://imec-publications.be/handle/20.500.12860/45750Frequency-modulated continuous-wave (FMCW) light detection and ranging (LiDAR) systems offer unprecedented sensing features, being a crucial block in both present and future automotive industries. However, phase noise impairment is unavoidable in most FMCW LiDAR sensors, deteriorating their multi-target detection capabilities. Therefore, this work proposes, analyzes, and studies a novel and low-complex technique for mitigating phase noise in multi-target FMCW LiDAR systems. Experimental results show excellent performance in terms of detection probability of the proposed algorithm, highlighting it as a key component for enabling scalable and efficient autonomous vehicle sensors.Enhanced multi-target detection in automotive FMCW LiDAR sensors affected by phase noiseProceedings paper10.1117/12.3039758978-1-5106-8495-9WOS:001488199800020