Super-Resolution Range and Velocity Estimations for SFA-OFDM Radar

Sparse frequency agile orthogonal frequency division multiplexing (SFA-OFDM) signal brings excellent performance to electronic counter-countermeasures (ECCM) and reduces the complexity of the radar system. However, frequency agility makes coherent processing a much more challenging task for the rada...

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Bibliographic Details
Published in:Remote sensing (Basel, Switzerland) Switzerland), 2022-01, Vol.14 (2), p.278
Main Authors: Liu, Zhixing, Quan, Yinghui, Wu, Yaojun, Xing, Mengdao
Format: Article
Language:English
Subjects:
Algorithms
Bandwidths
Coherence
Fast Fourier transformations
Fourier transforms
Linear arrays
Mathematical models
Military communications
multiple signal classification
Musical performances
Orthogonal Frequency Division Multiplexing
Parameter estimation
Radar
Radar equipment
Remote sensing
Signal classification
Signal processing
sparse frequency agility
subcarrier synthesis
super-resolution range and velocity
Velocity
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Summary:Sparse frequency agile orthogonal frequency division multiplexing (SFA-OFDM) signal brings excellent performance to electronic counter-countermeasures (ECCM) and reduces the complexity of the radar system. However, frequency agility makes coherent processing a much more challenging task for the radar, which leads to the discontinuity of the echo phase in a coherent processing interval (CPI), so the fast Fourier transform (FFT)-based method is no longer a valid way to complete the coherent integration. To overcome this problem, we proposed a novel scheme to estimate both super-resolution range and velocity. The subcarriers of each pulse are firstly synthesized in time domain. Then, the range and velocity estimations for the SFA-OFDM radar are regarded as the parameter estimations of a linear array. Finally, both the super-resolution range and velocity are obtained by exploiting the multiple signal classification (MUSIC) algorithm. Simulation results are provided to demonstrate the effectiveness of the proposed method.
ISSN:2072-4292
2072-4292
DOI:10.3390/rs14020278