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Division of Intelligent Robot
1. Journal Articles
Low-Complexity Range-Azimuth FMCW Radar Sensor Using Joint Angle and Delay Estimation Without SVD and EVD
Oh, Daegun
;
Lee, Jong-Hun
Division of Intelligent Robot
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Title
Low-Complexity Range-Azimuth FMCW Radar Sensor Using Joint Angle and Delay Estimation Without SVD and EVD
Issued Date
2015-09
Citation
IEEE Sensors Journal, v.15, no.9, pp.4799 - 4811
Type
Article
Author Keywords
FMCW
;
low complexity
;
range
;
azimuth
;
radar detection
Keywords
MATRICES
;
Matrix Decomposition
;
Monte Carlo Methods
;
Multiple Signal Classification
;
Noise
;
One Dimensional
;
PROPAGATOR METHOD
;
Radar
;
Radar Detection
;
Radar Equipment
;
Radar Systems
;
RANGE
;
SELECTION
;
Sensors
;
Signal
;
Signal Processing
;
Singular Value Decomposition
;
SPECTRUM
;
SYSTem
;
Time Delay
;
Wavelet Analysis
;
ARRAY
;
Azimuth
;
Computational Burden
;
Continuous Wave Radar
;
Continuous Waveforms
;
Data Handling
;
Delay Estimation
;
DIAGONALIZATION
;
Eigenvalue Decomposition
;
Eigenvalues and Eigenfunctions
;
ESPRIT
;
Estimation
;
FMCW
;
FREQUENCY
;
Frequency Estimation
;
Frequency Modulation
;
Intelligent Systems
;
Joint Angle and Delay Estimations
;
Joints
;
Joints (Structural Components)
;
Low Complexity
ISSN
1530-437X
Abstract
A low complexity range-azimuth frequency-modulated continuous-waveform (FMCW) radar sensor using joint angle and delay estimation method without singular value decomposition (SVD) and eigenvalue decomposition (EVD) is presented in this paper. Conventional joint angle and delay estimation techniques exploit the dual-shift-invariant structure of received signals through matrix decompositions, such as SVD and EVD, which increases the computational burden. The proposed method utilizes the dual-shift-invariant structure through matrix inversion and performs angle and delay estimation using extended one-dimensional pseudospectrum searching instead of two-dimensional pseudospectrum searching to reduce the computational complexity. We demonstrate the effectiveness of the proposed method through Monte-Carlo simulations. The proposed algorithm is also verified by processing real FMCW data collected in an anechoic chamber. © 2015 IEEE.
URI
http://hdl.handle.net/20.500.11750/2852
DOI
10.1109/JSEN.2015.2428814
Publisher
Institute of Electrical and Electronics Engineers Inc.
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