Title :
DOA estimation of nonstationary coherent signals using signal vector randomization
Author :
MacInnes, Craig S.
Author_Institution :
Naval Underwater Syst. Center, Newport, RI, USA
fDate :
6/1/1998 12:00:00 AM
Abstract :
A method is presented for solving DOA tracking problems when there are correlated signals present. The new technique, which is called signal vector randomization, can be used to efficiently eliminate any correlation in the signals. This allows fast tracking methods to be used without any modification. The method is shown to be as effective as the spatial smoothing method
Keywords :
correlation methods; direction-of-arrival estimation; frequency estimation; random processes; tracking; vectors; DOA estimation; correlated signals; nonstationary coherent signals; signal vector randomization; tracking problems; Adaptive control; Data mining; Direction of arrival estimation; Ice; Polynomials; Programmable control; Random variables; Signal processing algorithms; Smoothing methods; State estimation;
Journal_Title :
Signal Processing, IEEE Transactions on
