A New Direction Finding Algorithm Using Spectral Correlation and Its Implement on TMS320C25
Pl A · Shuju caiji yu chuli · 1995
Many modulated communication signals exhibit a cyclo-stationary (or periodic correlation) property. In the time domain, its autocorrelation function exhibits periodicity with some period, in the frequency domain, the cycle frequency exhibits its spectral correlation property . By means of this spectral correlation property .many signal processing techniques may be made to gain a lot of useful characteristics. In this paper, two new algorithms are introduced by using the spectral correlation theory. The new algorithms have obtained the signal selectivity and overcome the limitations of existing methods using spatial spectrum estimation. Exploiting the known spectral correlation properties of desired signals, the new algorithms can estimate the directions of arrival of desired signals in the presence of multipath and arbitrary numbers of closely spaced interfering signals. This fine performance is demonstrated with the computer simulation, and these new algorithms have been implemented in real-time on TMS320C25 system.