TY - GEN
T1 - Adaptive Mainlobe Interference Suppression in Sparse Distributed Array Radar Based on Synthetic Wideband Signal
AU - Luo, Jian
AU - Zhang, Honggang
AU - Song, Yuanyuan
N1 - Publisher Copyright:
© 2018, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.
PY - 2018
Y1 - 2018
N2 - This paper proposes a mainlobe interference suppression method in distributed array radar (DAR) based on stepped frequency synthetic wideband signal. Due to the equivalent large aperture of DAR, it is possible to cancel the mainlobe interference without target signal suppression. The applying of stepped frequency synthetic wideband signal can avoid the different time delays arriving at each array compared with the traditional instantaneous wideband Chirp (linear frequency modulation) signal. Moreover, it can reduce the computational complexity. This method employs the narrowband adaptive processing to each sub-pulse of the stepped frequency signal, and then synthesizes the high resolution range profile (HRRP). As a result, mainlobe interference suppression under wideband signal is accomplished. Mainlobe interference suppression experiment is carried out by using an S-band experimental radar system, an S-band noise jammer and a target simulator. The measured data is processed employing the proposed method, and the result verifies the effectiveness of this algorithm.
AB - This paper proposes a mainlobe interference suppression method in distributed array radar (DAR) based on stepped frequency synthetic wideband signal. Due to the equivalent large aperture of DAR, it is possible to cancel the mainlobe interference without target signal suppression. The applying of stepped frequency synthetic wideband signal can avoid the different time delays arriving at each array compared with the traditional instantaneous wideband Chirp (linear frequency modulation) signal. Moreover, it can reduce the computational complexity. This method employs the narrowband adaptive processing to each sub-pulse of the stepped frequency signal, and then synthesizes the high resolution range profile (HRRP). As a result, mainlobe interference suppression under wideband signal is accomplished. Mainlobe interference suppression experiment is carried out by using an S-band experimental radar system, an S-band noise jammer and a target simulator. The measured data is processed employing the proposed method, and the result verifies the effectiveness of this algorithm.
KW - Distributed array radar
KW - Mainlobe interference suppression
KW - Stepped frequency synthetic wideband signal
KW - Wideband adaptive beamforming
UR - http://www.scopus.com/inward/record.url?scp=85045267374&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-73447-7_22
DO - 10.1007/978-3-319-73447-7_22
M3 - Conference contribution
AN - SCOPUS:85045267374
SN - 9783319734460
T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
SP - 188
EP - 197
BT - Machine Learning and Intelligent Communications - Second International Conference, MLICOM 2017, Proceedings
A2 - Li, Bo
A2 - Gu, Xuemai
A2 - Liu, Gongliang
PB - Springer Verlag
T2 - 2nd International Conference on Machine Learning and Intelligent Communications, MLICOM 2017
Y2 - 5 August 2017 through 6 August 2017
ER -