eld of the array. A natural approach to the wide-band estimation problem is to decompose it into a series of related narrow-band estimation problems. First a finite set of frequencies is selected and after narrow-band filtering, the signal subspaces are estimated in each of these frequency bins. Then the mapping from signal subspaces to directions-of-arrivals is done by optimizing a generalized narrow-band criterion. Examples of such methods are the unit circle eigendecomposition rational signal subspace (UCERSS) algorithm of Su and Morf , and the coherent signal subspace (CSS) method of Wang and Kaveh [40, 145]. A disadvantage of these methods is that they utilize only the signal power within individual narrow frequency bins. Therefore, a large number of frequency points may be needed for good estimation accuracy. Furthermore, it is unclear how to select these frequencies if no a priori information of the spectral content of the signals is available. An attractive alternativ
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