Abstract
Phase-Modulated Continuous Wave (PMCW)
Radar can enable future autonomous driving thanks to its
robustness against interference and flexibility in the digital
domain. However, there are stringent requirements for the
Analog-Digital Converter (ADC), in terms of speed and linearity,
which are due to the needed radar range and Doppler
resolution. Time-interleaving is used to attain the required signal
bandwidth while achieving a high effective number of bits
(ENOB) by compensating mismatch errors between different
time-interleaving channels. This paper analyzes the dominant
time-interleaving errors: offset and gain. The paper demonstrates
how they impact PMCW radar performance by creating ghost
targets and decreasing signal-to-noise ratio (SNR).
Radar can enable future autonomous driving thanks to its
robustness against interference and flexibility in the digital
domain. However, there are stringent requirements for the
Analog-Digital Converter (ADC), in terms of speed and linearity,
which are due to the needed radar range and Doppler
resolution. Time-interleaving is used to attain the required signal
bandwidth while achieving a high effective number of bits
(ENOB) by compensating mismatch errors between different
time-interleaving channels. This paper analyzes the dominant
time-interleaving errors: offset and gain. The paper demonstrates
how they impact PMCW radar performance by creating ghost
targets and decreasing signal-to-noise ratio (SNR).
Original language | English |
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Publication status | Accepted/In press - 11 May 2020 |
Keywords
- Radar, binary phase shift keying, analog-digital conversion, error analysis