摘要
针对低信噪比条件下的正负步进频率雷达运动参数估计问题,提出结合运用快速粗值估计和精确搜索估计的速度估计新方法。该方法利用相邻回波间相位关系作快速傅里叶变换得到运动速度的估值及搜索范围,同时采用具有良好抗噪性的脉组求和函数搜索得到精确速度。仿真结果表明,该方法具有抗噪性能好、估计精度高、运算量小和适合实时处理的特点。
To solve the target motion parameter estimation problem for a positive and negative stepped-frequency radar under condition of low SNR, a new method of combined fast approximate estimation and accurate search estimation is proposed. In this method Fast Fourier Transformation （FFT） of the two successive echoes to obtain the estimation and searching range of the velocity is utilized first, then the accurate velocity with a pulse summation function is searched for. Simulation results show that this method has good anti-noise performance, high accuracy of estimation, small calculation load and is fit for real-time processing.
出处
《现代雷达》
CSCD
北大核心
2009年第2期36-39,共4页
Modern Radar
关键词
步进频率
运动补偿
脉组求和函数
stepped-frequency
motion compensation
pulse summation function
