TY - JOUR
T1 - Communication Bistatic RCS Estimation Using Monostatic Scattering Centers With Compressive Sensing
AU - Noh, Yeong Hoon
AU - Im, Hyeong Rae
AU - Kim, Woobin
AU - Hong, Ic Pyo
AU - Yook, Jong Gwan
N1 - Publisher Copyright:
© 1963-2012 IEEE.
PY - 2022/8/1
Y1 - 2022/8/1
N2 - This communication presents a novel technique for obtaining bistatic radar cross sections (RCSs) extracted from a monostatic scattering field dataset using a discrete scattering center model and basis pursuit denoising (BPDN) algorithm, which is compressive sensing (CS) technique. With the high-frequency assumption, a complex vector of independent point sources is formulated in a monostatic configuration for a geometrical relationship among the transmitter, receiver, and equivalent scatterers. A matrix equation for the scattering problem of an underdetermined form is effectively calculated by an iterative BPDN solver. Then, compensating the phase difference in the bistatic condition can derive the bistatic RCS at specific frequency points and observation angles. The accuracy of the proposed method for extracting bistatic results is verified using two numerical examples, and the performance of the method in terms of measurement efficiency and data resolution in frequency and angle domains is compared with that of conventional method.
AB - This communication presents a novel technique for obtaining bistatic radar cross sections (RCSs) extracted from a monostatic scattering field dataset using a discrete scattering center model and basis pursuit denoising (BPDN) algorithm, which is compressive sensing (CS) technique. With the high-frequency assumption, a complex vector of independent point sources is formulated in a monostatic configuration for a geometrical relationship among the transmitter, receiver, and equivalent scatterers. A matrix equation for the scattering problem of an underdetermined form is effectively calculated by an iterative BPDN solver. Then, compensating the phase difference in the bistatic condition can derive the bistatic RCS at specific frequency points and observation angles. The accuracy of the proposed method for extracting bistatic results is verified using two numerical examples, and the performance of the method in terms of measurement efficiency and data resolution in frequency and angle domains is compared with that of conventional method.
KW - Basis pursuit denoising (BPDN)
KW - RCS
KW - bistatic radar cross section (RCS) measurement
KW - compressive sensing (CS)
KW - monostatic to bistatic equivalence theorem (MBET)
KW - point scatterer
UR - http://www.scopus.com/inward/record.url?scp=85129631256&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85129631256&partnerID=8YFLogxK
U2 - 10.1109/TAP.2022.3168601
DO - 10.1109/TAP.2022.3168601
M3 - Article
AN - SCOPUS:85129631256
SN - 0018-926X
VL - 70
SP - 7350
EP - 7355
JO - IEEE Transactions on Antennas and Propagation
JF - IEEE Transactions on Antennas and Propagation
IS - 8
ER -