该文提出了基于窄带雷达估计空间进动目标微动参数的新方法。该方法首先依据进动目标回波信号的微多普勒特性,应用傅里叶变换对目标的进动参数进行粗估计;然后根据回波信号的时频谱特性,通过相干积累的方法得到目标的高分辨率3维分布。最后,利用图像熵的概念在特定范围内对微动参数进行搜索,获得了较高的估计精度。使用仿真数据验证了算法的性能,证明了参数估计的高精度。
A new method is proposed to estimate micro-motion parameters of space precession targets. Based on the micro-Doppler characteristic of a precession target, the Fourier transformation is applied to estimate precession parameters roughly. Then based on the time-frequency spectrum characteristic of the echo signal, coherent accumulation is applied to obtain a 3-D high resolution distribution of the target. The estimation accuracy of the parameters is refined by calculating the whole image entropy. Simulations results confirm the effectiveness of our proposed method.