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Car accidents have always been a major problem, resulting in over a million deaths and countless injuries globally in a recent year. One of the significant factors of these tragedies is due to a limited field of view (FoV) that a driver has in a vehicle. Due to this fact, scientists and engineers are developing radar technology to assist drivers on the road. The radar applications such as lane change assist (LCA), blind spot detection (BSD), stop-and-go, adaptive cruise control (ACC) and rear crash warning (RCW), are widely used in most of the vehicles nowadays.
The most commonly used technology for automotive radar application is frequency modulated continuous wave (FMCW). This signal is also widely used for radar altimeters, navigation systems, and sensors. This signal can provide more accurate distance measurement compare to pulse radar even with objects that are closely apart. The FMCW radar system detects and provides the measurement of range and velocity of the surrounding objects simultaneously. While the real-time calculations required for the signal processing is complicated, faster processors available today is sufficient to make FMCW possible. Besides, the lower cost of these processors allows the FMCW signal is used mainly in the automotive industry. With this technology and cost feasibility, the design for a self-driving car is made possible with this radar system.
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