TY - GEN
T1 - A Modified Large Dynamic Weak DSSS Signal Acquisition Algorithm Based on DBZP
AU - Tao, Zhen
AU - Wang, Ju
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/6/4
Y1 - 2021/6/4
N2 - In order to solve the problem of fast acquisition of weak direct sequence spread spectrum (DSSS) signals under the condition of large dynamic, this paper proposes a modified DSSS signal acquisition algorithm based on the double block zero padding algorithm. The proposed algorithm realizes segmented Doppler search by frequency compensation of the baseband signal, then the code Doppler of partial correlation result is corrected by pre-compensating local pseudo-code and the Keystone transform. In addition, the computational cost of the algorithm is reduced by introducing the sparse fourier transform. Theoretical analysis and simulation results show that the proposed algorithm can effectively eliminate the influence of large dynamic on long-term accumulation of the weak DSSS signals. Compared with the representative algorithm, the proposed algorithm, which reduces the computational cost by 48.9% when the coherent accumulation time is 5ms, has higher computational efficiency.
AB - In order to solve the problem of fast acquisition of weak direct sequence spread spectrum (DSSS) signals under the condition of large dynamic, this paper proposes a modified DSSS signal acquisition algorithm based on the double block zero padding algorithm. The proposed algorithm realizes segmented Doppler search by frequency compensation of the baseband signal, then the code Doppler of partial correlation result is corrected by pre-compensating local pseudo-code and the Keystone transform. In addition, the computational cost of the algorithm is reduced by introducing the sparse fourier transform. Theoretical analysis and simulation results show that the proposed algorithm can effectively eliminate the influence of large dynamic on long-term accumulation of the weak DSSS signals. Compared with the representative algorithm, the proposed algorithm, which reduces the computational cost by 48.9% when the coherent accumulation time is 5ms, has higher computational efficiency.
KW - keystone transform
KW - large dynamic
KW - long-term accumulation
KW - sparse fourier transform
KW - weak DSSS signal
UR - http://www.scopus.com/inward/record.url?scp=85114480107&partnerID=8YFLogxK
U2 - 10.1109/ICCSN52437.2021.9463622
DO - 10.1109/ICCSN52437.2021.9463622
M3 - Conference contribution
AN - SCOPUS:85114480107
T3 - 2021 13th International Conference on Communication Software and Networks, ICCSN 2021
SP - 365
EP - 369
BT - 2021 13th International Conference on Communication Software and Networks, ICCSN 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th International Conference on Communication Software and Networks, ICCSN 2021
Y2 - 4 June 2021 through 7 June 2021
ER -