Parameter Estimation for Precession Cone-Shaped Targets Based on Range-Frequency-Time Radar Data Cube

A radar echo signal received from a cone-shaped target with precession contains micro-Doppler (m-D) information from different effective scattering centers. By taking full advantage of the m-D information, this paper proposes a parameter estimation algorithm for precession cone-shaped targets based on the range-frequency-time radar data cube (RDC). We build scattering center models of precession cone-shaped targets with the occlusion effect. The Binary Mask method is first utilized to obtain a high-resolution range-Doppler (RD) sequence. On this basis, the range-frequency-time RDC can be extracted from the RD sequence. In order to approach the actual case, we discuss the parameter estimation algorithm under different radar lines-of-sight (LOS). The most attractive attribute of this algorithm is that it can conduct in-depth research on m-D parameter estimation from a three-dimensional (3D) domain. Finally, the experimental results illustrate the effectiveness of the proposed method.

Automated summary

This paper proposes an algorithm for parameter estimation of precession cone-shaped targets based on micro-Doppler (m-D) information. By combining the binary mask method with the range-Doppler sequence, the range-frequency-time radar data cube (RDC) can be extracted for parameter estimation. The algorithm has the advantage of conducting in-depth research on m-D parameter estimation in a three-dimensional domain.