TY - JOUR
T1 - A Signal Processing Algorithm Based on 2D Matched Filtering for SSAR
AU - Yang, Shouguo
AU - Li, Yong
AU - Zhang, Kunhui
AU - Liu, Jianshe
N1 - Publisher Copyright:
© 2017 Shouguo Yang et al.
PY - 2017
Y1 - 2017
N2 - This study discusses a smart radar antenna scanning mode that combines features of both the sector-scan mode used for conventional radar and the line-scan mode used for synthetic aperture radar (SAR) and achieves an application of the synthetic aperture technique in the conventional sector-scan (mechanically scanned) radar, and we refer to this mode as sector-scan synthetic aperture radar (SSAR). The mathematical model is presented based on the principle of SSAR, and a signal processing algorithm is proposed based on the idea of two-dimensional (2D) matched filtering. The influences of the line-scan range and speed on the SSAR system are analyzed, and the solution to the problem that the target velocity is very high is given. The performance of the proposed algorithm is evaluated through computer simulations. The simulation results indicate that the proposed signal processing algorithm of SSAR can gather the signal energy of targets, thereby improving the ability to detect dim targets.
AB - This study discusses a smart radar antenna scanning mode that combines features of both the sector-scan mode used for conventional radar and the line-scan mode used for synthetic aperture radar (SAR) and achieves an application of the synthetic aperture technique in the conventional sector-scan (mechanically scanned) radar, and we refer to this mode as sector-scan synthetic aperture radar (SSAR). The mathematical model is presented based on the principle of SSAR, and a signal processing algorithm is proposed based on the idea of two-dimensional (2D) matched filtering. The influences of the line-scan range and speed on the SSAR system are analyzed, and the solution to the problem that the target velocity is very high is given. The performance of the proposed algorithm is evaluated through computer simulations. The simulation results indicate that the proposed signal processing algorithm of SSAR can gather the signal energy of targets, thereby improving the ability to detect dim targets.
UR - http://www.scopus.com/inward/record.url?scp=85042453542&partnerID=8YFLogxK
U2 - 10.1155/2017/4047983
DO - 10.1155/2017/4047983
M3 - 文章
AN - SCOPUS:85042453542
SN - 1024-123X
VL - 2017
JO - Mathematical Problems in Engineering
JF - Mathematical Problems in Engineering
M1 - 4047983
ER -