Using high-range resolution (HRR) radar data for reconstructing a rigid moving target's scattering centers

2004 ◽  
Author(s):  
Salvatore Fazio ◽  
Lang Hong
Keyword(s):  
Radar Data ◽  
Range Resolution ◽  
Scattering Centers ◽  
High Range

scholarly journals Compressive Sensing-Based Bandwidth Stitching for Multichannel Microwave Radars

Sensors ◽  
2020 ◽  
Vol 20 (3) ◽  
pp. 665
Author(s):  
Paul Berry ◽  
Ngoc Hung Nguyen ◽  
Hai-Tan Tran
Keyword(s):  
Compressive Sensing ◽  
Matching Pursuit ◽  
Target Recognition ◽  
Radar Data ◽  
Effective Bandwidth ◽  
Sparse Reconstruction ◽  
Range Resolution ◽  
Combining Data ◽  
Temporal And Spatial ◽  
High Range

The problem of obtaining high range resolution (HRR) profiles for non-cooperative target recognition by coherently combining data from narrowband radars was investigated using sparse reconstruction techniques. If the radars concerned operate within different frequency bands, then this process increases the overall effective bandwidth and consequently enhances resolution. The case of unknown range offsets occurring between the radars’ range profiles due to incorrect temporal and spatial synchronisation between the radars was considered, and the use of both pruned orthogonal matching pursuit and refined l 1 -norm regularisation solvers was explored to estimate the offsets between the radars’ channels so as to attain the necessary coherence for combining their data. The proposed techniques were demonstrated and compared using simulated radar data.

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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