TY - GEN
T1 - A subspace-based Manifold separation technique for array calibration
AU - Chen, Minqiu
AU - Chen, Xi
AU - Mao, Xing Peng
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/3/23
Y1 - 2017/3/23
N2 - In this paper, we modify the classic manifold separation technique (MST), aiming to reduce its dependence on high signal-to-noise ratio (SNR) measuring environment. According to the analysis of the array response, it is demonstrated that to maintain a correct phase relationship between the received data at different calibration angles is indispensable for the application of MST. Thus, we slightly change the structure of the traditional calibration system, so that a phase reference for the measurements can be obtained. Besides, unlike the classic MST, where only a single snapshot measurement is utilized for calibration, multi-snapshot information is exploited in the novel method by using the subspace decomposition technique. Simulation results verify the superiorities of the proposed subspace-based calibration method in 1-D and 2-D scenarios.
AB - In this paper, we modify the classic manifold separation technique (MST), aiming to reduce its dependence on high signal-to-noise ratio (SNR) measuring environment. According to the analysis of the array response, it is demonstrated that to maintain a correct phase relationship between the received data at different calibration angles is indispensable for the application of MST. Thus, we slightly change the structure of the traditional calibration system, so that a phase reference for the measurements can be obtained. Besides, unlike the classic MST, where only a single snapshot measurement is utilized for calibration, multi-snapshot information is exploited in the novel method by using the subspace decomposition technique. Simulation results verify the superiorities of the proposed subspace-based calibration method in 1-D and 2-D scenarios.
KW - array calibration
KW - direction-of-arrival estimation
KW - manifold separation technique
UR - https://www.scopus.com/pages/publications/85017660533
U2 - 10.1109/ISSPIT.2016.7886006
DO - 10.1109/ISSPIT.2016.7886006
M3 - 会议稿件
AN - SCOPUS:85017660533
T3 - 2016 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2016
SP - 40
EP - 44
BT - 2016 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2016
Y2 - 12 December 2016 through 14 December 2016
ER -