TY - GEN
T1 - A Grating Lobe Suppression Approach for Distributed Mimo Array Radar Backprojection Algorithm
AU - Lv, Junqi
AU - Song, Yue
AU - Li, Zhongyu
AU - Wu, Junjie
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Distributed MIMO Array Radars normally utilize sparse arrays with large equivalent array element spacing, which cannot avoid the generation of grating lobes that cause interference to the received signal. The grating lobes can be suppressed by Phase Coherence Factor (PCF) weighting factor. Regretfully, PCF has problems such as the possibility of suppressing the main lobe as well and the unclear phase resolution of the grating lobes. In this paper, we propose a new weighting factor, namely Embedded Classification Coherence Factor (ECCF), by improving the PCF weighting factor, and propose an embedded superposition method to filter and superimpose the phases of all channels in the BP imaging process. ECCF shows a lower peak side lobe ratio than PCF, and enjoys a superior effect on grating lobe suppression. Simulations are given to verify the performance.
AB - Distributed MIMO Array Radars normally utilize sparse arrays with large equivalent array element spacing, which cannot avoid the generation of grating lobes that cause interference to the received signal. The grating lobes can be suppressed by Phase Coherence Factor (PCF) weighting factor. Regretfully, PCF has problems such as the possibility of suppressing the main lobe as well and the unclear phase resolution of the grating lobes. In this paper, we propose a new weighting factor, namely Embedded Classification Coherence Factor (ECCF), by improving the PCF weighting factor, and propose an embedded superposition method to filter and superimpose the phases of all channels in the BP imaging process. ECCF shows a lower peak side lobe ratio than PCF, and enjoys a superior effect on grating lobe suppression. Simulations are given to verify the performance.
KW - Distributed MIMO Array Radar
KW - Grating Lobe Suppression
KW - Sparse Array
UR - https://www.scopus.com/pages/publications/85140363637
U2 - 10.1109/IGARSS46834.2022.9883428
DO - 10.1109/IGARSS46834.2022.9883428
M3 - 会议稿件
AN - SCOPUS:85140363637
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 3444
EP - 3447
BT - IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022
Y2 - 17 July 2022 through 22 July 2022
ER -