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通过合并多输入多输出(MIMO)和无源相干定位(PCL)雷达的两种思想,可以同时获取近期开始研究的这两种雷达的优势。虽然在发射机和接收机中使用多个天线,即采用机会照射可提供目标的空间分集,但最重要的一点是雷达可对截击机进行隐蔽探测。但是,当单频网络(SFN)发射机用作非协作发射机时也会产生一些问题。这种情况下,在接收机中无法辨别出多发射机探测多目标返回的信号。因此,为了获取MIMO雷达的分集增益和定位目标,有必要开发一项技术将接收机中的每个回波分配至发射机和目标。在以前的工作中已经提出这一技术,该文通过智能化算法改进来提升这项技术。
By combining the two ideas of multiple-input-multiple-output (MIMO) and passive coherent positioning (PCL) radars, the advantages of the two radars that have just begun to be studied are available simultaneously. Although multiple antennas are used in the transmitter and receiver, ie opportunistic illumination can provide the target spatial diversity, the most important point is that the radar can stealthly detect the interceptor. However, some problems arise when a single frequency network (SFN) transmitter is used as a non-cooperative transmitter. In this case, it is not possible to recognize at the receiver how multiple transmitters detect signals returned by multiple targets. Therefore, in order to gain diversity gain and positioning goals for MIMO radar, it is necessary to develop a technique to assign each echo in the receiver to the transmitter and to the target. This technique has been proposed in previous work, which is enhanced by an intelligent algorithm to enhance this technique.