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.
In this paper, we design and implement a digital impulse generator using a DCM block and an OSERDES block for a
24GHz UWB impulse-Doppler radar. The Federal Communications Commission (FCC) has confirmed the spectrum
from 22 to 29GHz for UWB radar with a limit power of -41.3dBm/MHz. UWB signal possesses an absolute bandwidth
larger than 500MHz or a relative bandwidth up to 20%. The vehicle radar is the key technology with the inherent
advantage detected the distance and the velocity regardless of weather. Radar has a role to measure the distance and the
velocity of long-distance vehicle. But, the radar with 1m resolution is difficult to satisfy the detection performance in the
blind spot zone because the blind spot zone needs high resolution. So, UWB impulse-Doppler radar with 30cm
resolution is suitable for the blind spot zone. The designed impulse generator has a 2ns pulse width and 100us PRI. We
perform simulations through Xilinx ISE; experiments use a spectrum analyzer and a digital oscilloscope. For UWB
radar, we use an AD9779 DAC module with a 1Gsps maximum sampling rate. For equipment, we use a TDS5104B
oscilloscope of Tektronix with 3dB bandwidth at 1GHz for the analysis of the time domain and an E4448A spectrum
analyzer of Agilent with a 50GHz spectrum for the analysis of the frequency domain. The results of the digital impulse
measurement show a 2ns pulse width in the time domain, a 500MHz bandwidth, and a 10KHz spectrum peak in the
frequency domain.
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