TY - JOUR
T1 - Coherent Processing Method for Frequency Agile Radar
AU - Li, Yang
AU - Wang, Xiangyu
AU - Liu, Nan
AU - Wang, Zaiyang
AU - Hu, Xueyao
N1 - Publisher Copyright:
© The Institution of Engineering & Technology 2023.
PY - 2023
Y1 - 2023
N2 - Coherent processing of frequency agile waveform can cause underdetermined estimation problems. Traditional matched filtering results in high sidelobes covering weak targets, which unable to satisfy the high-precision requirements of radar. This paper proposes a coherent processing method based on low-rank matrix completion to solve the underdetermined estimation problem for frequency agile waveform coherent processing. Firstly, this method formulates a model for the frequency agile waveform echo signal and represents it using a sparse observation matrix in the frequency domain. To ensure the low-rank of sparse observation matrix, we reconstruct the observation matrix into dual Hankel configurations. Then, the sparse observation matrix is efficiently reconstructed using matrix completion method based on Alternating Direction Multiplier Method, resolving the underdetermined estimation challenges arisen from coherent processing of frequency agile waveform. Finally, by means of simulation experiments, the effectiveness and feasibility of the proposed method based on matrix completion was validated.
AB - Coherent processing of frequency agile waveform can cause underdetermined estimation problems. Traditional matched filtering results in high sidelobes covering weak targets, which unable to satisfy the high-precision requirements of radar. This paper proposes a coherent processing method based on low-rank matrix completion to solve the underdetermined estimation problem for frequency agile waveform coherent processing. Firstly, this method formulates a model for the frequency agile waveform echo signal and represents it using a sparse observation matrix in the frequency domain. To ensure the low-rank of sparse observation matrix, we reconstruct the observation matrix into dual Hankel configurations. Then, the sparse observation matrix is efficiently reconstructed using matrix completion method based on Alternating Direction Multiplier Method, resolving the underdetermined estimation challenges arisen from coherent processing of frequency agile waveform. Finally, by means of simulation experiments, the effectiveness and feasibility of the proposed method based on matrix completion was validated.
KW - ADMM algorithm
KW - Matrix completion
KW - Underdetermined estimation
UR - http://www.scopus.com/inward/record.url?scp=85203178329&partnerID=8YFLogxK
U2 - 10.1049/icp.2024.1363
DO - 10.1049/icp.2024.1363
M3 - Conference article
AN - SCOPUS:85203178329
SN - 2732-4494
VL - 2023
SP - 1839
EP - 1845
JO - IET Conference Proceedings
JF - IET Conference Proceedings
IS - 47
T2 - IET International Radar Conference 2023, IRC 2023
Y2 - 3 December 2023 through 5 December 2023
ER -