基于STAP的高速空中微弱多目标检测

空时自适应处理（Space-time adaptive processing, STAP）是一种有效的机载雷达动目标检测方法。为了对高速微弱空中动目标进行检测，常常要求相干累积时间较长。在此情况下，目标会发生严重的距离走动，一般常用Keystone变换来校正。但由于目标存在严重的速度模糊，此时Keystone变换会对STAP性能产生影响，而且Keystone变换无法对模糊数不同的各目标的线性距离走动进行统一校正。针对这些问题，本文提出了一种基于STAP、Keystone变换及Clean技术的高速微弱空中多目标检测方法。该方法首先进行杂波抑制，从而避免了Keystone变换降低STAP性能的问题，同时借助于Clean技术逐个检测出各目标并将其从总的数据中消除,因此对于模糊数不同的多个目标也是有效的。仿真结果证明了该方法能够有效的实现高速空中微弱多目标检测。 

Mutiple fast moving air dim targets decetion via STAP

Space-time adaptive processing (STAP) is an effective method for moving target detection in airborne radar. However, detection of fast moving air dim target requires long accumulation time and hence range walk can occur. Keystone formatting combined with STAP provides a possible way for the above targets detection problem. However, due to serious Doppler ambiguity of the fast moving air dim targets, the direct use of Keystone formatting to the received data will degrade the STAP performance. Another problem is that Keystone formatting can’t compensate multiple targets’ range walk with different ambiguity numbers. In this paper, a new method combined STAP, Keystone formatting and Clean technique is proposed for multiple fast moving air dim targets detection. The new method removes clutter in the received data before Keystone formatting to avoid the performance degradation on STAP, and Clean technique is introduced for multiple target detection, by which one target’s range walk is compensated and then being detected based on the searched ambiguity number, after that, the data of that target is removed from the entire data and all the potential targets can be detected only by repeating the process. Effectiveness of the new method is verified via simulation examples.