Waveform Design and System Verification of Millimeter Wave Radar
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Typ
Examensarbete för masterexamen
Program
Publicerad
2019
Författare
ZIEMANN, ARVID
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
In modern radar applications such as autonomous driving, the range resolution of
the radar system is of great importance. The key factors for improving the range
resolution involve smart waveform and radar sensing design in addition to the signal
bandwidth. Another concept when it comes to waveform design, is the idea of
designing radar waveforms that are compatible with communication, which could
provide efficient spectrum and hardware usage.
In this thesis, we demonstrate the waveform generation and radar sensing process for
a linear frequency modulated (LFM) and orthogonal frequency-division multiplexing
(OFDM) based radar waveform compatible with communication. The functionality
and radar performance of both the radar systems are evaluated through simulations
and real-world measurements at a radio frequency of 80 GHz. It is found that the
range resolution of both the LFM and OFDM radar systems is 13.2 cm at 1 GHz
bandwidth, when using their conventional radar sensing algorithms. With the intent
to improve the range resolution without increasing the bandwidth, a super-resolution
algorithm known as multiple signal classification (MUSIC) is implemented for the
OFDM radar which is able to improve the range resolution down to 6 cm, with the
cost of a higher computational complexity than the conventional OFDM and LFM
algorithms.
Beskrivning
Ämne/nyckelord
OFDM , LFM , Radar , Communication , Range resolution , Computational complexity