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Robust array interpolation using second-order cone programming
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DOI：10.1109/97.988716.png)
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We study Friedlander's array interpolation technique, whose main shortcoming in multisource scenarios is that it does not provide sufficient robustness against sources arriving outside specified interpolation sectors. In this letter, we develop a new robust interpolation approach by minimizing the interpolation error inside the sectors of interest while setting multiple stopband constraints outside these sectors to prevent performance degradation effects caused by out-of-sector sources. Computationally efficient convex formulations of the robust interpolation matrix design problem using second-order cone programming are derived.
Keyword:
array interpolation
direction finding
second-order cone programming
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9.6
论文数:
1.1W
被引数:
1.7W
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