一种新的高速多目标检测及参数估计方法  

Novel detection and parameters estimation of a high-speed multi-target

作　　者：郑纪彬[1] 符渭波[1] 苏涛[1] 朱文涛[1] 

机构地区：[1]西安电子科技大学雷达信号处理国家重点实验室,陕西西安710071

出　　处：《西安电子科技大学学报》2013年第2期82-88,共7页Journal of Xidian University

基　　金：国家自然科学基金资助项目(61001204);中央高校基本科研业务费专项资金资助项目(JY0000902020);陕西省"13115"科技创新工程资助项目(2009ZDKG-26)

摘　　要：提出了一种高速、多目标窄带雷达目标检测和运动参数估计的新方法.首先采用频域距离徙动补偿处理与分数阶傅里叶变换结合的方式进行速度和加速度的粗估计,然后在粗估计基础上采用Keystone变换与分数阶傅里叶变换结合的方式精确估计出速度模糊数和加速度.该方法适用于多目标及存在距离徙动、多普勒扩散和速度模糊的情况,且由于采用了相参积累方式,在低信噪比下可以进行精确的目标检测和运动参数估计.目标运动参数粗估计与精确估计相结合的方法大大降低了实现相参积累所需的运算量.A novel algorithm for high-speed multi-target detection and parameters estimation with narrowband radar is proposed. Firstly, velocity and acceleration are roughly estimated with the combination of compensating range migration in the frequency domain and fractional Fourier transform. And then, based on the coarse estimation, keystone transform and fractional Fourier transform are employed to estimate the fold factor and acceleration accurately. In the case of multi-target, range migration, Doppler spread and velocity ambiguity, this algorithm is suitable, and the performance of the targets detection and parameters estimation is improved owing to the utilization of the coherent integration in a low signal-to-noise ratio. The computational load is greatly reduced by combination of coarse and accurate estimation. The validity of the proposed algorithm is demonstrated by computer simulation.

关 键 词：距离徙动 分数阶傅里叶变换 KEYSTONE变换 多普勒扩散 速度模糊 相参积累 

分 类 号：TN957.51[电子电信—信号与信息处理]