TY - GEN
T1 - A novel method of beidou satellite signal acquisition using signal square stripping NH scrambling
AU - Wang, Shuxi
AU - Wu, Xiongjun
AU - Pei, Ke
AU - Zhou, Jialing
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/6
Y1 - 2018/7/6
N2 - The BeiDou Navigation Satellite system is original designed to perform navigation and control tasks as an compatible, independent, open, and global navigation system. The success operating of this system in real-world environments have to overcome numerous challenges, chief among which are the BDS signal's success capture ratio, and the time resources consumed to accomplish standard positioning task. These issues are still deemed as key open challenges currently. Aimed at mitigating the aliasing artifacts brought by the way the modulation codes are tackled, and improving the BDS system performance in terms of reducing the usage of logical resources and shorten the capture time, we proposed in the current paper an acquisition method of using signal square to capture satellite signals and remove the NH implementation code interference signal. We designed a hardware system based on Xilinx XC7Z045 platform to realize the main principle and idea of the proposed method. The simulation tests are carried out to verify the effectiveness of the proposed method. Also, we compared resources cost of the proposed methods against the traditional one, it seems that the hardware circuit resources of the current method are reduced significantly. In addition to providing a novel perspective of the navigation problem, the proposed signal square stripping approach adopted in this paper paves the way to several extensions in relation to position, navigation and control of BeiDou systems, such as the transportation, mobile network synchronization and guidance & control of varied kinds of platforms and multi-agent networking systems.
AB - The BeiDou Navigation Satellite system is original designed to perform navigation and control tasks as an compatible, independent, open, and global navigation system. The success operating of this system in real-world environments have to overcome numerous challenges, chief among which are the BDS signal's success capture ratio, and the time resources consumed to accomplish standard positioning task. These issues are still deemed as key open challenges currently. Aimed at mitigating the aliasing artifacts brought by the way the modulation codes are tackled, and improving the BDS system performance in terms of reducing the usage of logical resources and shorten the capture time, we proposed in the current paper an acquisition method of using signal square to capture satellite signals and remove the NH implementation code interference signal. We designed a hardware system based on Xilinx XC7Z045 platform to realize the main principle and idea of the proposed method. The simulation tests are carried out to verify the effectiveness of the proposed method. Also, we compared resources cost of the proposed methods against the traditional one, it seems that the hardware circuit resources of the current method are reduced significantly. In addition to providing a novel perspective of the navigation problem, the proposed signal square stripping approach adopted in this paper paves the way to several extensions in relation to position, navigation and control of BeiDou systems, such as the transportation, mobile network synchronization and guidance & control of varied kinds of platforms and multi-agent networking systems.
KW - Acquisition
KW - BeiDou
KW - NH code
KW - Signal square
UR - http://www.scopus.com/inward/record.url?scp=85050878773&partnerID=8YFLogxK
U2 - 10.1109/CCDC.2018.8408242
DO - 10.1109/CCDC.2018.8408242
M3 - Conference contribution
AN - SCOPUS:85050878773
T3 - Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018
SP - 6334
EP - 6338
BT - Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 30th Chinese Control and Decision Conference, CCDC 2018
Y2 - 9 June 2018 through 11 June 2018
ER -