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Low-Complexity Range-Azimuth FMCW Radar Sensor Using Joint Angle and Delay Estimation Without SVD and EVD

Title
Low-Complexity Range-Azimuth FMCW Radar Sensor Using Joint Angle and Delay Estimation Without SVD and EVD
Author(s)
Oh, DaegunLee, Jong-Hun
DGIST Authors
Oh, DaegunLee, Jong-Hun
Issued Date
2015-09
Type
Article
Article Type
Article
Subject
AzimuthComputational BurdenContinuous Wave RadarContinuous WaveformsData HandlingDelay EstimationEigenvalue DecompositionEigenvalues and EigenfunctionsEstimationFMCWFrequency EstimationFrequency ModulationIntelligent SystemsJoint Angle and Delay EstimationsJoints (Structural Components)Low ComplexityMatrix DecompositionMonte-Carlo MethodMultiple Signal ClassificationNoiseOne DimensionalRadarRadar DetectionRadar EquipmentRadar SystemsRangeSensorsSignal ProcessingSingular Value DecompositionTime DelayWavelet Analysis
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.
Related Researcher
  • 오대건 Oh, Daegun 지능형로봇연구부
  • Research Interests
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Appears in Collections:
Convergence Research Center for Collaborative Robots 1. Journal Articles
Division of Automotive Technology Advanced Radar Tech. Lab 1. Journal Articles
Convergence Research Center for Future Automotive Technology 1. Journal Articles

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