Super-resolution Algorithms for Joint Range-Azimuth-Doppler Estimation in Automotive Radars

Yalin Gürcan; Alexander Yarovoy

doi:10.23919/EURAD.2017.8249150

Super-resolution Algorithms for Joint Range-Azimuth-Doppler Estimation in Automotive Radars

Microwave Sensing, Signals & Systems

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

11 Citations (Scopus)

Abstract

The problem of localization of targets and determining their velocities by means of radar is formulated as a joint estimation problem over single, three-dimensional domain. Joint estimation algorithms remove problems with data association and allow to exploit relations between individual estimation problems. To exploit wide bandwidth of the sensing signals, a new signal
model is formulated based on time-dependant steering vectors for wideband automotive LFMCW radar applications. Joint three dimensional range-azimuth-Doppler estimation is performed using MUSIC approach based on the proposed signal model. The signal model is further improved based on investigation of inter-pulse Doppler effects on the radar array. Results of proposed model are compared to narrow-band MUSIC based joint estimation
approach.

Original language	English
Title of host publication	Proceedings of the 14th European Radar Conference
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	73-76
Number of pages	4
ISBN (Electronic)	978-2-87487-049-1
DOIs	https://doi.org/10.23919/EURAD.2017.8249150
Publication status	Published - 2017
Event	14th European Radar Conference, EuRAD 2017 - Nuremberg, Germany Duration: 11 Oct 2017 → 13 Oct 2017 http://www.eumweek.com/conferences/eurad.html

Conference

Conference	14th European Radar Conference, EuRAD 2017
Abbreviated title	EuRAD-2017
Country/Territory	Germany
City	Nuremberg
Period	11/10/17 → 13/10/17
Internet address	http://www.eumweek.com/conferences/eurad.html

Keywords

Estimation
Radar
Azimuth
Direction-of-arrival estimation
Multiple signal classification
Covariance matrices
Signal to noise ratio

Access to Document

10.23919/EURAD.2017.8249150

Cite this

@inproceedings{a62e222c42d64aaa8ecfb9ef5df93090,

title = "Super-resolution Algorithms for Joint Range-Azimuth-Doppler Estimation in Automotive Radars",

abstract = "The problem of localization of targets and determining their velocities by means of radar is formulated as a joint estimation problem over single, three-dimensional domain. Joint estimation algorithms remove problems with data association and allow to exploit relations between individual estimation problems. To exploit wide bandwidth of the sensing signals, a new signalmodel is formulated based on time-dependant steering vectors for wideband automotive LFMCW radar applications. Joint three dimensional range-azimuth-Doppler estimation is performed using MUSIC approach based on the proposed signal model. The signal model is further improved based on investigation of inter-pulse Doppler effects on the radar array. Results of proposed model are compared to narrow-band MUSIC based joint estimationapproach.",

keywords = "Estimation, Radar, Azimuth, Direction-of-arrival estimation, Multiple signal classification, Covariance matrices, Signal to noise ratio",

author = "Yalin G{\"u}rcan and Alexander Yarovoy",

year = "2017",

doi = "10.23919/EURAD.2017.8249150",

language = "English",

pages = "73--76",

booktitle = "Proceedings of the 14th European Radar Conference",

publisher = "IEEE",

address = "United States",

note = "14th European Radar Conference, EuRAD 2017, EuRAD-2017 ; Conference date: 11-10-2017 Through 13-10-2017",

url = "http://www.eumweek.com/conferences/eurad.html",

}

TY - GEN

T1 - Super-resolution Algorithms for Joint Range-Azimuth-Doppler Estimation in Automotive Radars

AU - Gürcan, Yalin

AU - Yarovoy, Alexander

PY - 2017

Y1 - 2017

N2 - The problem of localization of targets and determining their velocities by means of radar is formulated as a joint estimation problem over single, three-dimensional domain. Joint estimation algorithms remove problems with data association and allow to exploit relations between individual estimation problems. To exploit wide bandwidth of the sensing signals, a new signalmodel is formulated based on time-dependant steering vectors for wideband automotive LFMCW radar applications. Joint three dimensional range-azimuth-Doppler estimation is performed using MUSIC approach based on the proposed signal model. The signal model is further improved based on investigation of inter-pulse Doppler effects on the radar array. Results of proposed model are compared to narrow-band MUSIC based joint estimationapproach.

AB - The problem of localization of targets and determining their velocities by means of radar is formulated as a joint estimation problem over single, three-dimensional domain. Joint estimation algorithms remove problems with data association and allow to exploit relations between individual estimation problems. To exploit wide bandwidth of the sensing signals, a new signalmodel is formulated based on time-dependant steering vectors for wideband automotive LFMCW radar applications. Joint three dimensional range-azimuth-Doppler estimation is performed using MUSIC approach based on the proposed signal model. The signal model is further improved based on investigation of inter-pulse Doppler effects on the radar array. Results of proposed model are compared to narrow-band MUSIC based joint estimationapproach.

KW - Estimation

KW - Radar

KW - Azimuth

KW - Direction-of-arrival estimation

KW - Multiple signal classification

KW - Covariance matrices

KW - Signal to noise ratio

U2 - 10.23919/EURAD.2017.8249150

DO - 10.23919/EURAD.2017.8249150

M3 - Conference contribution

SP - 73

EP - 76

BT - Proceedings of the 14th European Radar Conference

PB - IEEE

CY - Piscataway, NJ

T2 - 14th European Radar Conference, EuRAD 2017

Y2 - 11 October 2017 through 13 October 2017

ER -

Super-resolution Algorithms for Joint Range-Azimuth-Doppler Estimation in Automotive Radars

Abstract

Conference

Keywords

Access to Document

Fingerprint

Cite this