Application of signal subspace approach to high-resolution narrowband array processing |
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Authors: | M. H. Er A. Cantoni C. S. Lee |
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Affiliation: | (1) School of Electrical and Electronic Engineering, Nanyang Technological Institute, Nanyang Avenue, 2263, Singapore;(2) Department of Electrical and Electronic Engineering, University of Western Australia, Nedlands 6009, Western Australia, Australia |
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Abstract: | The paper first briefly reviews some subspace techniques for high-resolution array processing. It is shown that existing high-resolution techniques like the MUSIC algorithm are based on visual inspection of the spatial spectrum. It is not a scientifically valid means of assessing resolution of a spectrum estimator. The paper then proposes a technique based on a combination of optimal processing and signal subspace extraction for high-resolution array processing. Numerical results show that the proposed technique not only achieves superresolution of the spectrum, but also provides power estimates of the arrivals. |
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