Velocity Estimation by Two Sample DFT Interpolation and Weighted Least Square Fusion for Dual-Frequency Radar

Velocity measurements of moving targets based on radar systems have extensive applications in many engineering fields. This article proposes an optimized velocity estimation strategy for dual-frequency radar by introducing a new discrete Fourier transform (DFT) interpolation scheme and the fusion of the observations acquired by two receivers. First, a new two-sample DFT interpolation method based on a phase detector is contributed. The new interpolation method can achieve an accurate estimation for each single receiver. Additionally, a weighted least square (WLS) estimation scheme is further proposed through the fusion of the observations of dual receivers. The fusion boundaries of dual receivers are investigated, and an optimized fusion strategy is finally presented. Numerical and experimental results show that the proposed strategies equip good noise resistance and outperform existing methods under various conditions.