A new direction-of-arrival estimation method using automotive radar sensor arrays
Author(s) -
Seunghoon Cho,
Heemang Song,
Kyung-Jin You,
HyunChool Shin
Publication year - 2017
Publication title -
international journal of distributed sensor networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.324
H-Index - 53
eISSN - 1550-1477
pISSN - 1550-1329
DOI - 10.1177/1550147717713628
Subject(s) - computer science , direction of arrival , radar , phase (matter) , signal (programming language) , arrival time , time of arrival , angle of arrival , automotive industry , direction finding , algorithm , real time computing , acoustics , telecommunications , wireless , physics , antenna (radio) , engineering , quantum mechanics , transport engineering , thermodynamics , programming language
This article presents a new signal processing method of estimation of direction of arrival using the phase difference between sensors. The new method is essentially a narrow-band technique for automotive radar. A delay of the reception time is caused by the physical gap between sensors in the incident signals to the sensor arrays, and it results in a phase difference between input signals. The new method predicts the ideal phase value and the phase value of the input signal. The point that minimizes the phase error for every sensor is estimated as direction of arrival. The simulation result shows that the new method offers significantly improved estimation resolution and direction-of-arrival estimation compared to conventional methods.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom