A segmentation motion compensation-based longterm integration method for DSSS signal

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.