基于三角函数拟合的RCS序列进动周期估计

摘要

Estimating procession period based on ballistic missile target’s Radar Cross Section (RCS) sequences is an important means of feature extraction and target identification. The RCS sequences of ballistic missile target are unstable random process when the target is in procession, and the conventional Fourier transform and correlation type method needs long observation time and high data rate to estimate the procession period, which are unacceptable to the limited radar resource. A novel method of estimating procession period based on RCS sequences is presented. The proposed method first fits the RCS sequences with trigonometric function of a certain frequency, then get a procession frequency that minimize the fitting errors of different frequencies’ trigonometric function. The proposed method estimate more accurately and needs fewer time resources than conventional ones, as is validated by the simulation results of RCS data.%利用雷达反射截面(RCS)序列估计进动周期为弹道目标特征提取和识别的重要途径。弹道目标在进动时，回波RCS序列为非平稳的周期序列，常规Fou rier变换方法和周期间相关类方法需要较长观测时间和较高数据率才能有效地估计 RCS 的周期，这对于有限的雷达资源来说是不可接受的。该文提出一种新的估计弹道目标 RCS序列周期的方法，该方法先利用特定频率附近的三角函数来拟合RCS序列，再求得使拟合误差最小的频率，即为RCS序列的进动频率。相比于常规方法，该文方法具有所需资源少，估计精度高的特点。RCS计算数据的仿真结果证明了该文方法的有效性。