TY - GEN
T1 - MIMO radar signal processing based on tomographic imaging technique
AU - Zhang, Chang
AU - Yang, Qiang
AU - Dong, Yingning
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/3/12
Y1 - 2014/3/12
N2 - Recently, with the rapid development of inshore tourism, the appropriate beaches for antennas distribution are lesser and lesser. So it is imperative to find a new way for high frequency radar system. By locating the transmitters and receivers in a circular array can reduce the area of the transmitters and receivers in a single beach, as we locate the array in a circular mode in different places instead of a line mode in one single place. Inspired by the spatial diversity which is gained in tomographic imaging technique, this paper presents a circular array MIMO radar system used tomographic imaging technique which is the convolution back projection (CBP) algorithm. As the limitation of the signal bandwidth in high frequency band, the spatial resolution of the classical radar system is very low. However, geometric diversity obtained through MIMO radar system affords the user the opportunity to obtain additional information concerning the targets without increasing bandwidth. With the tomographic signal processing, this translates directly into increased probability of target detection. Finally, numerical experiments are also provided to demonstrate the effectiveness of the proposed methods.
AB - Recently, with the rapid development of inshore tourism, the appropriate beaches for antennas distribution are lesser and lesser. So it is imperative to find a new way for high frequency radar system. By locating the transmitters and receivers in a circular array can reduce the area of the transmitters and receivers in a single beach, as we locate the array in a circular mode in different places instead of a line mode in one single place. Inspired by the spatial diversity which is gained in tomographic imaging technique, this paper presents a circular array MIMO radar system used tomographic imaging technique which is the convolution back projection (CBP) algorithm. As the limitation of the signal bandwidth in high frequency band, the spatial resolution of the classical radar system is very low. However, geometric diversity obtained through MIMO radar system affords the user the opportunity to obtain additional information concerning the targets without increasing bandwidth. With the tomographic signal processing, this translates directly into increased probability of target detection. Finally, numerical experiments are also provided to demonstrate the effectiveness of the proposed methods.
KW - MIMO radar
KW - convolution back projection algorithm
KW - tomography
UR - https://www.scopus.com/pages/publications/84946689645
U2 - 10.1109/RADAR.2014.7060301
DO - 10.1109/RADAR.2014.7060301
M3 - 会议稿件
AN - SCOPUS:84946689645
T3 - 2014 International Radar Conference, Radar 2014
BT - 2014 International Radar Conference, Radar 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 International Radar Conference, Radar 2014
Y2 - 13 October 2014 through 17 October 2014
ER -