Title :
Signal subspace sphericity and inter-signal coherence-MUSIC induces inter-signal coherence
Author :
Linebarger, Darel A. ; DeGroat, Ronald D.
Author_Institution :
Center for Eng. Math., Texas Univ., Richardson, TX, USA
Abstract :
The role and importance of signal subspace sphericity are discussed. Using signal subspace arguments with the true correlation matrix, it is shown that MUSIC effectively induces intersignal coherence due to its requirement for subspace sphericity. It is also shown in the finite data case that some commonly used direction finding methods yield results identical to those of MUSIC if subspace sphericity is induced. It is demonstrated that sphericity induced coherence can be desirable. This is accomplished with an infinitely averaged example using spatial smoothing to reduce the coherence. However, reducing the sphericity induced coherence has a detrimental effect on resolution
Keywords :
coherence; correlation methods; parameter estimation; signal processing; MUSIC; array processing; direction finding methods; finite data case; infinitely averaged example; inter-signal coherence; resolution; signal subspace arguments; signal subspace sphericity; spatial smoothing; sphericity induced coherence; true correlation matrix; Eigenvalues and eigenfunctions; Instruments; Mathematics; Multiple signal classification; Narrowband; Noise level; Signal processing; Signal resolution; Smoothing methods; Spatial resolution;
Conference_Titel :
Signals, Systems and Computers, 1991. 1991 Conference Record of the Twenty-Fifth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-8186-2470-1
DOI :
10.1109/ACSSC.1991.186457