Research on Improving LFMCW Radar Level Measurement Accuracy

2011 ◽  
Vol 474-476 ◽  
pp. 119-122
Author(s):  
Xiao Min Yu ◽  
Xiao Kun Yu
Keyword(s):  
Measurement Accuracy ◽  
Main Lobe ◽  
Frequency Space ◽  
Range Resolution ◽  
Level Measurement ◽  
Measuring Accuracy ◽  
Picket Fence ◽  
Order Of Magnitude ◽  
High Range

LFMCW radar have a high range measuring accuracy in theory. But in practice, the picket fence effect of the FFT transform, making the range resolution and range accuracy in the same order of magnitude, can not meet the accuracy requirements for the near range measuring . Cascade FFT method is adopted to reduce frequency space of the main lobe of echo range spectrum on the FFT with increasing the less operation .The method can greatly improve the range precision of LFMCW Radar.

Research on Improving LFMCW Radar Level Measurement Accuracy

2011 ◽  
Vol 55-57 ◽  
pp. 1346-1349
Author(s):  
Xiao Min Yu ◽  
Xiao Kun Yu
Keyword(s):  
Measurement Accuracy ◽  
Main Lobe ◽  
Frequency Space ◽  
Range Resolution ◽  
Level Measurement ◽  
Measuring Accuracy ◽  
Picket Fence ◽  
Order Of Magnitude ◽  
High Range

LFMCW radar have a high range measuring accuracy in theory. But in practice, the picket fence effect of the FFT transform, making the range resolution and range accuracy in the same order of magnitude, can not meet the accuracy requirements for the near range measuring . Cascade FFT method is adopted to reduce frequency space of the main lobe of echo range spectrum on the FFT with increasing the less operation .The method can greatly improve the range precision of LFMCW Radar.

scholarly journals Precision Imaging of Frequency Stepped SAR with Frequency Domain Extracted HRRP and Fast Factorized Back Projection Algorithm

2017 ◽  
Vol 2017 ◽  
pp. 1-13
Author(s):  
Can-bin Yin ◽  
Da Ran
Keyword(s):  
Fourier Transform ◽  
Frequency Domain ◽  
Single Point ◽  
Projection Algorithm ◽  
Great Promise ◽  
Back Projection ◽  
Imaging Processing ◽  
Block Partition ◽  
Range Resolution ◽  
High Range

Novel frequency domain extracted method (FDEM) to obtain high range resolution profile (HRRP) for frequency stepped synthetic aperture radar (SAR) is proposed in this paper, and the mathematical principle and formulas of this new HRRP obtaining idea combined with classical fast Fourier transform (FFT), chirp z transform (CZT), and single point Fourier transform (SPFT) are deduced, analyzed, and compared in detail. Based on the HRRP data, precision imaging processing is completed using a data block partition based fast factorized back projection algorithm. Imaging validations are executed and all results proved that the FDEM has a great capability of antijamming. It is more effective than conventional time domain IFFT method (TDM) and shows a great promise in frequency stepped radar imaging and applications.

An evolutionary multiclass algorithm for automatic classification of high range resolution radar targets

2009 ◽  
Vol 16 (1) ◽  
pp. 51-60 ◽  
Author(s):  
Leo Carro-Calvo ◽  
Sancho Salcedo-Sanz ◽  
Roberto Gil-Pita ◽  
Antonio Portilla-Figueras ◽  
Manuel Rosa-Zurera
Keyword(s):  
Automatic Classification ◽  
Range Resolution ◽  
Radar Targets ◽  
High Range Resolution Radar ◽  
High Range
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