To improve road safety and realize intelligent transportation, Ultra-Wideband (UWB) radars sensor in the 24 GHz
domain are currently under development for many automotive applications. Automotive UWB radar sensor must be
small, require low power and inexpensive. By employing a direct conversion receiver, automotive UWB radar sensor is
able to meet size and cost reduction requirements. We developed Automotive UWB radar sensor for automotive
applications. The developed receiver of the automotive radar sensor is direct conversion architecture. Direct conversion
architecture poses a dc-offset problem. In automotive UWB radar, Doppler frequency is used to extract velocity. The
Doppler frequency of a vehicle can be detected using zero-padding Fast Fourier Transform (FFT). However, a zero-padding
FFT error is occurs due to DC-offset problem in automotive UWB radar sensor using a direct conversion
receiver. Therefore, dc-offset problem corrupts velocity ambiguity. In this paper we proposed a mean-padding method to
reduce zero-padding FFT error due to DC-offset in automotive UWB radar using direct conversion receiver, and verify
our proposed method with computer simulation and experiment using developed automotive UWB radar sensor. We
present the simulation results and experiment result to compare velocity measurement probability of the zero-padding
FFT and the mean-padding FFT. The proposed algorithm simulated using Matlab and experimented using designed the
automotive UWB radar sensor in a real road environment. The proposed method improved velocity measurement
probability.
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