A Fast Multi-Manenvering Target Parameter Estimation

In recent years, the research on the rapid estimation of the parameters of maneuvering targets has received extensive attention. However, many existing parameter estimation algorithms have the problem of conflicting accuracy and computational complexity. In addition, when multiple maneuvering target parameters are estimated at the same time, the traditional time-frequency class algorithm will have cross-term interference. According to the above problem, we noticed that the auto item is constant and independent of the adjacent time delay while the cross term is a function of the adjacent time delay in the Higher-order Adjacent Cross Correlation Function (HACCF) expansion of radar echo signal. Based on that, a fast estimation algorithm for estimating multi - maneuvering target parameters is proposed. The algorithm firstly takes the mean extraction of the signal’s HACFF to extract the auto items, and inhibits the cross term. Then we can estimate the frequency of auto items further and get accurate estimation of maneuvering target acceleration. Numerical simulations show that the calculation of the algorithm proposed is small and it can quickly estimate the maneuvering target parameters. This algorithm can estimate the parameters of multiple maneuvering targets simultaneously with high accuracy.