雷达目标微动参数估计是微动特征用于目标识别必须首先解决的一个问题。以典型的转动模型为例,分析了微动对一维距离像的影响,推导了不同情况下微动补偿需满足的精度要求,提出了利用自相关法、峰谷值检测法及单脉冲测角原理联合估计微动参数。仿真实验验证了所提算法在信噪比为-5dB时仍有效。
Micro-motion parameter estimation of radar target should be studied before its application in target recognition. The effect of micro-motion for high range resolution profile is analyzed based on typical rotation mod- el, while the precision requested for micro-motion compensation is derived. Autocorrelation, peak-to-valley value detection combined with monopulse angle estimation are proposed to estimate micro-motion parameters. Computer simulation is given to prove the effectiveness of the methods in the condition of signal-to-noise ratio at - 5 dB.