基于MIMO噪声雷达的高速运动目标检测

针对传统体制雷达对高速运动目标不能进行长时间有效相参积累检测问题，该文提出了一种基于MIMO噪声雷达的高速运动目标检测方法。该方法利用MIMO噪声雷达在短时间内输出的多路回波数据进行相参并行处理来取代回波数据的长时间相参积累检测，以避免距离走动，径向速度变化以及反射截面积(RCS)快起伏等非平稳因素对目标检测的影响，有效实现了多个高速运动目标的无模糊检测。仿真结果验证了MIMO噪声雷达在高速运动目标检测方面的优越性。

High Speed Moving Target Detection Using MIMO Noise Radar

It is difficult for the traditional radar to detect effectively the high speed moving target with the long time coherent integration method. In this paper, Multi-Input Multi-Output (MIMO) noise radar, in which the parallel coherent processing of the multi-channel echo data in a short time is exploited to replace the long time coherent integrative detection, is used for high speed moving target detection. Thus the detection performance of MIMO noise radar may not be affected by the range migration, the radial velocity variety and the fast Radar Cross-Section (RCS) fluctuation. Then the multiple high speed moving targets can be effectively detected without range ambiguities with MIMO noise radar. Simulations verify the superiority of MIMO noise radar on high speed moving target detection.