Title :
Direction finding for wideband signals using fast coherent signal subspace
Author :
Frikel, M. ; Bourennane, S.
Author_Institution :
CNRS, Corte, France
Abstract :
A method to estimate the set of bias vectors spanning the signal subspace without eigendecomposition is described. Each basis vector can be determined by the Lanczos algorithm. The signal subspace estimates at each frequency are transformed by focusing matrices such that the coherent signal subspace will be constructed for all analysis bands. The performance of the proposed method is shown to be almost the same as that of the classical eigendecomposition method
Keywords :
array signal processing; direction-of-arrival estimation; matrix algebra; Lanczos algorithm; analysis band; array processing; bias vector estimation; classical eigendecomposition method; computational load reduction; fast coherent signal subspace; focusing matrices; frequency; performance; signal subspace estimates; wideband signals; Additive noise; Array signal processing; Direction of arrival estimation; Frequency estimation; Narrowband; Radar; Sensor arrays; Signal analysis; Vectors; Wideband;
Conference_Titel :
Digital Signal Processing Workshop Proceedings, 1996., IEEE
Conference_Location :
Loen
Print_ISBN :
0-7803-3629-1
DOI :
10.1109/DSPWS.1996.555529