1. Bacon, L.D. and Post, R.E., 1984. A limitation of the Kumaresan-Prony algorithm in direction-finding applications. IEEETrans. Acoust., Speech, Signal Process., ASSP-32: 912–914.
A modification of the forward-backward linear prediction method of spectral analysis due to Tufts and Kumaresan was evaluated for use in direction finding with an array of sensors. Their modifications increase the resolution and allow it to function properly at SNR below the usual threshold. A special case of this method, the Kumaresan-Prony (KP) case, is especially attractive due to its easeof computation. It provides resolution nearly as good as the optimum case of the general method with a significant saving in computer time. However, this case was found to exhibit blind angles, where performance was severely degraded in spite of wide spacing of the sources. These blind angles are a serious obstacle to the application of this method. This problem appears to affect only the KP case.
Figures & Tables
Modern Spectral Analysis with Geophysical Applications
This book provides a bibliography of the material available concerning geophysical applications of spectral analysis. There are in all 1,483 numbered references. In addition to methodical developments, this bibliography includes geophysical applications.