基于Keystone变换的长时间相参积累研究

长时间相参积累是提高弱小目标检测的一种有效方法,但随着积累时间的增加,会产生目标跨距离单元走动的问题。文中在信号处理算法中引入Keystone变换来补偿距离走动带来的影响,可以在不需要先验速度信息的情况下,实现目标的长时间积累。仿真实验验证了Keystone变换实现距离走动补偿的有效性,并形成了一套较完整的雷达信号处理算法。

Study and Simulation of Long-time Coherent Integration with Keystone Transform

Long-time coherent integration is a key technique for small moving targets detection under low signal noise.However,the integration and detection for long time should deal with the problem resulting from target range-cell-crossing.An effective way is to employ keystone transform to compensate the influence of range migration,thus achieving coherent integration of all moving targets regardless of their unknown velocity.The paper presents a complete set of algorithms for radar signal processing,and the effectiveness of the algorithms is confirmed.