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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
Issued Date
2015-09
Citation
IEEE Sensors Journal, v.15, no.9, pp.4799 - 4811
Type
Article
Author Keywords
FMCWlow complexityrangeazimuthradar detection
Keywords
ARRAYAzimuthComputational BurdenContinuous Wave RadarContinuous WaveformsData HandlingDelay EstimationDIAGONALIZATIONEigenvalue DecompositionEigenvalues and EigenfunctionsESPRITEstimationFMCWFREQUENCYFrequency EstimationFrequency ModulationIntelligent SystemsJoint Angle and Delay EstimationsJointsJoints (Structural Components)Low ComplexityMATRICESMatrix DecompositionMonte Carlo MethodsMultiple Signal ClassificationNoiseOne DimensionalPROPAGATOR METHODRadarRadar DetectionRadar EquipmentRadar SystemsRANGESELECTIONSensorsSignalSignal ProcessingSingular Value DecompositionSPECTRUMSYSTemTime 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.
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Appears in Collections:
Division of Intelligent Robotics 1. Journal Articles
Division of Automotive Technology Advanced Radar Tech. Lab 1. Journal Articles
Division of Automotive Technology 1. Journal Articles

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