利用信号谱相关特性提高谱估计测向性能

Performance Improvements of Direction Finding by Exploiting Spectral Correlation Property

介绍了几种将谱相关理论用于谱估计测向的新算法。它们将时间和空间处理相结合，从而克服了常规空间谱估计测向算法存在的不足，并提高了信号选择性、分辨率、过载能力、检测能力等方面的测向性能，其中谱相关信号子空间拟合（ＳＣ－ＳＳＦ）算法，还适用于对宽带信号的到达方向（ＤＯＡ）进行估计。

In this paper, several new algorithms of direction finding using spectral correlation theo-ry are presented,These new,algorithms combine,temporal processing with spatial processing to overcome weakness in conventional methods of direction finding using the spatial spectrum,and have improved the property of direction finding on the aspects of signal selectivity, the spectral correlation-signal subspace fitting(SC-SSF)algorithm is also suitable for the direction-of-arrival(DOA)estimation of broad-band signals.