广义盲噪声空域分离算法

Generalized Blind Noise Separation Algorithm in Airspace

在"广义噪声"定义下,提出一种盲噪声空域分离算法。该算法不仅能够对来自空间多个未知方向的未知信号进行分离,确定其声源发生坐标,而且能够对信号实施有选择性的接收或消能阻断。因此,该算法特别适用于复杂电磁条件下的无线通信信号的分离与对拒收信号的"软隔离",而且能够实现在"广义噪声"定义下的"软降噪"。本算法对来自多个方向的相互独立信号的分离准确率达到98%以上,所形成的反"噪声"信号能够在其作用范围内使"噪声"的能量降低50%以上。

According to the definition of generalized noise, a blind noise airspace separation algo- rithm is put forward. The algorithm can not only separate more than one unknown signals from unknown directions, determine its source, also can selectively receive or block signals. Therefore, it is very suitable to the space wireless communication signal separation under complex electromagnetic environment and to refuse the ＂soft isolation＂ signal. At the same time, it can also achieve soft noise reduction in ＂definition of generalized noise＂. The accuracy rate of the algorithm separating mutually independent sig- nals from multiple directions can reach 98% , the reverse noise signal formed can reduce the energy of the ＂noise＂ in the application range by 50%.