Long-time coherent integration for high dynamic DSSS signal

Abstract

A novel coherent integration method for high dynamics direct sequences spread spectrum (DSSS) signal is presented. The presented method is based on adjacent cross-correlation function (ACCF) and Lv's distribution (LVD). ACCF is firstly used to compensate the code phase drift and reduce the Doppler frequency migration order. After that, LVD is used to accomplish the integration and obtain the parameter estimates. The presented method can estimate motion parameters without any searching procedure. Compared with the existing methods, the presented method can achieve a good balance between the computational cost and the detection and estimation performance. Numerical simulations are provided to verify the effectiveness of the proposed method.

Keywords

• radar detection
• fast fourier transforms
• signal detection
• fourier transforms
• parameter estimation
• spread spectrum communication
• object detection
• radon transforms
• time coherent integration
• high dynamic dsss signal
• novel coherent integration method
• high dynamics direct sequences spread spectrum signal
• adjacent cross-correlation function
• accf
• lvd
• code phase drift
• doppler frequency migration order
• parameter estimates