Sparse Automotive MIMO Radar for Super-Resolution Single Snapshot DOA Estimation With Mutual Coupling
Journal article, 2021

A novel sparse automotive multiple-input multiple-output (MIMO) radar configuration is proposed for low-complexity super-resolution single snapshot direction-of-arrival (DOA) estimation. The physical antenna effects are incorporated in the signal model via open-circuited embedded-element patterns (EEPs) and coupling matrices. The transmit (TX) and receive (RX) array are each divided into two uniform sparse sub-arrays with different inter-element spacings to generate two MIMO sets. Since the corresponding virtual arrays (VAs) of both MIMO sets are uniform, the well-known spatial smoothing (SS) algorithm is applied to suppress the temporal correlation among sources. Afterwards, the co-prime array principle between two spatially smoothed VAs is deployed to avoid DOA ambiguities. A performance comparison between the sparse and conventional MIMO radars with the same number of TX and RX channels confirms a spatial resolution enhancement. Meanwhile, the DOA estimation error due to the mutual coupling (MC) is less pronounced in the proposed sparse architecture since antennas in both TX and RX arrays are spaced larger than half wavelength apart.



MIMO radar

MIMO radar

MIMO communication

Direction-of-arrival estimation

mutual coupling

sparse arrays

Antenna arrays

single snapshot

Automotive radar

DOA estimation

Sparse matrices


Navid Amani

Chalmers, Electrical Engineering, Communication and Antenna Systems, Antennas

Eindhoven University of Technology

Feike Jansen

NXP Semiconductors Netherlands

Alessio Filippi

NXP Semiconductors Netherlands

Marianna Ivashina

Chalmers, Electrical Engineering, Communication and Antenna Systems, Antennas

Rob Maaskant

Chalmers, Electrical Engineering, Communication and Antenna Systems

Eindhoven University of Technology

IEEE Access

2169-3536 (ISSN)

Vol. 9 146822-146829

Silicon-based Ka-band massive MIMO antenna systems for new telecommunication services (SILIKA)

European Commission (EC) (EC/H2020/721732), 2016-09-01 -- 2020-08-31.

Subject Categories


Communication Systems

Signal Processing



More information

Latest update