Signal Processing for MIMO Automotive Radars
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Signal Processing for MIMO Automotive Radars
Wed, 15/08/2018 - 15:30
Location:
Speaker:
Cristian Alistarh, PhD Student
Affiliation:
Heriot Watt University
Synopsis:
Driver assistance systems require accuracy and predictability while making driving more enjoyable and safe. This presentation will show novel techniques for improving radar accuracy. In particular, by studying the product of multiple radar beam pattern spectrums from different radar sub-module views, a refined and improved total radar response can be obtained. We examine this radar signal processing approach using a 24GHz frequency-modulated continuous wave (FMCW) radar system equipped with broadband 1.5GHz substrate integrated waveguide (SIW) antenna arrays to ensure high range resolution. The measured spectral multiplication of the individual radar sub-modules results in a signal quality improvement of more than 10dB when compared to a MIMO radar configuration with the same architecture.
Biography:
Cristian Alistarh finished his MEng Engineering degree in Electronics and Computer Science from the University of Edinburgh in 2015. He undertook a joint MSc in Sensors and Imaging Systems at the Universities of Glasgow and Edinburgh and finished in September 2016. From October 2017 he has started his Joint PhD with the University of Edinburgh to develop 5G communications and MIMO Radar on the same automotive platform. In April 2018, he was shortlisted for “Best Paper in Antenna Design and Applications” at the European Conference in Antennas and Propagation. Throughout his studies, Cristian has been awarded the Keycom Industrial Scholarship and Scottish Funding Council Bursary. He is supported by an EPSRC scholarship granted by Engineering School at Heriot Watt.