TY - GEN
T1 - A segmentation motion compensation-based longterm integration method for DSSS signal
AU - Luo, Haikun
AU - Wang, Yongqing
AU - Ma, Zhihong
AU - Wu, Siliang
PY - 2012
Y1 - 2012
N2 - The long-term integration method is used to improve the acquisition sensitivity for weak DSSS signal. In large dynamic scenarios, the integration result suffers from the range walk of PN code auto-correlation peak, which brings energy loss and estimation bias. To solve this problem, a segmentation motion compensation based-Double Block Zero Padding (DBZP) algorithm is proposed. The algorithm contains two generalized Keystone transforms, and compensates the range walk segmentally, which is suitable for the configuration of coherent and non-coherent integration. Simulation results show that the proposed algorithm can eliminate the dynamic effectively and improve the acquisition sensitivity significantly.
AB - The long-term integration method is used to improve the acquisition sensitivity for weak DSSS signal. In large dynamic scenarios, the integration result suffers from the range walk of PN code auto-correlation peak, which brings energy loss and estimation bias. To solve this problem, a segmentation motion compensation based-Double Block Zero Padding (DBZP) algorithm is proposed. The algorithm contains two generalized Keystone transforms, and compensates the range walk segmentally, which is suitable for the configuration of coherent and non-coherent integration. Simulation results show that the proposed algorithm can eliminate the dynamic effectively and improve the acquisition sensitivity significantly.
KW - Generalized Keystone transform
KW - High Dynamic
KW - Motion Compensation
KW - Weak DSSS Signal
UR - http://www.scopus.com/inward/record.url?scp=84876483411&partnerID=8YFLogxK
U2 - 10.1109/ICoSP.2012.6491811
DO - 10.1109/ICoSP.2012.6491811
M3 - Conference contribution
AN - SCOPUS:84876483411
SN - 9781467321945
T3 - International Conference on Signal Processing Proceedings, ICSP
SP - 1287
EP - 1290
BT - ICSP 2012 - 2012 11th International Conference on Signal Processing, Proceedings
T2 - 2012 11th International Conference on Signal Processing, ICSP 2012
Y2 - 21 October 2012 through 25 October 2012
ER -