نتایج جستجو برای: fmcw radar
تعداد نتایج: 37624 فیلتر نتایج به سال:
This paper proposes an improved automotive target tracking scheme using FMCW radar which is necessary for the advanced collision warning systems. Since there exist strong nonlinear relationships between the FMCW radar measurements and the target state, the target tracking and data association in dense road clutters have been recognized as a quite challenging problem. It is obvious that the use ...
Respiration and heartbeat are basic indicators of the physiological state human beings. Frequency-modulated continuous wave (FMCW) radar can sense micro-displacement in body surface without contact, is used for vital-sign (respiration heartbeat) monitoring. For extraction vital-sign, it essential to select target range containing information. In this paper, we exploit coherency phase different ...
The monitoring of human activity and vital signs plays a significant role in remote health-care. Radar provides non-contact approach without privacy illumination concerns. However, multiple people narrow indoor environment bring dense multipaths for monitoring, the received sign signals are heavily distorted with body movements. This paper proposes framework based on Frequency Modulated Continu...
The Micro Rain Radar 2 (MRR) is a compact Frequency Modulated Continuous Wave (FMCW) system that operates at 24 GHz. The MRR is a low-cost, portable radar system that requires minimum supervision in the field. As such, the MRR is a frequently used radar system for conducting precipitation research. Current MRR drawbacks are the lack of a sophisticated post-processing algorithm to improve its se...
In autonomous driving vehicles, the emergency braking system uses lidar or radar sensors to recognize surrounding environment and prevent accidents. The conventional classifiers based on data using deep learning are single input structures range–Doppler maps micro-Doppler. Deep with a structure has limitations in improving classification performance. this paper, we propose multi-input classifie...
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