Cited 6 time in webofscience Cited 11 time in scopus

Joint DFT-ESPRIT Estimation for TOA and DOA in Vehicle FMCW Radars

Title
Joint DFT-ESPRIT Estimation for TOA and DOA in Vehicle FMCW Radars
Authors
Kim, SangdongOh, DaegunLee, Jonghun
DGIST Authors
Kim, SangdongOh, DaegunLee, Jonghun
Issue Date
2015
Citation
IEEE Antennas and Wireless Propagation Letters, 14, 1710-1713
Type
Article
Article Type
Article
Keywords
2D-ESPRITContinuous Wave RadarDirection of ArrivalDiscrete Fourier TransformsEstimationEstimation of Signal Parameters via Rotational Invariance TechniquesFrequency-Modulated Continuous Wave RadarsFrequency EstimationFrequency ModulationIntelligent SystemsJoint TOA/DOALow ComplexityMean Square ErrorMonte-Carlo MethodMultiple Signal ClassificationRadarRadar SystemsRadar Target RecognitionReal-Time ImplementationsReal Time ControlRoot Mean Square ErrorsTime of ArrivalTime of Arrival (TOA)Vehicle RadarVehiclesWavelet Analysis
ISSN
1536-1225
Abstract
This letter proposes a joint discrete Fourier transform (DFT)-estimation of signal parameters via rotational invariance techniques (ESPRIT) estimator for time-of-arrival (TOA) and direction-of-arrival (DOA) in vehicle frequency-modulated continuous-wave (FMCW) radars. Since the vehicle FMCW radar should recognize vehicles in the side/rear area when the driver initiates a lane change, the estimation of the joint TOA/DOA between the radar and targets is an important issue for solving complicated location tasks. However, conventional joint estimation methods such as 2D-ESPRIT and 2D-multiple signal classification (MUSIC) cannot be adopted for real-time implementation due to their high computational loads. To satisfy the required accuracy specifications and reduce complexity compared with the conventional estimator, we propose a low-complexity joint TOA and DOA estimator that uses the combined DFT-ESPRIT algorithm for FMCW radars. The performance of the proposed estimation in multitarget environments was derived and compared with the Monte Carlo simulation results. The root-mean-square error (RMSE) of the proposed method was compared with that of 2D-ESPRIT with various parameters. To verify the performance of the proposed combination method, we implemented the FMCW radar and verified its performance in an anechoic chamber environment. © 2015 IEEE.
URI
http://hdl.handle.net/20.500.11750/5223
DOI
10.1109/LAWP.2015.2420579
Publisher
Institute of Electrical and Electronics Engineers Inc.
Related Researcher
Files:
There are no files associated with this item.
Collection:
Convergence Research Center for Future Automotive Technology1. Journal Articles
Convergence Research Center for Collaborative Robots1. Journal Articles


qrcode mendeley

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE