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- W2637565786 abstract "Sparse linear arrays, such as co-prime and nested arrays, can identify up to O(M2) sources with only O(M) sensors by using co-array based MUSIC. We conduct analytical performance analysis of two coarray based MUSIC algorithms, namely the direct augmentation based MUSIC, and the spatial smoothing based MUSIC. In addition, we analyze the Cramer-Rao bound for sparse linear arrays, and show that for co-prime and nested arrays, it can decrease at a rate of O(M−5) as the number of sensors M goes to infinity, in contrast to O(M−3) in the ULA case. We use numerical examples to demonstrate our analytical results." @default.
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- W2637565786 date "2017-03-01" @default.
- W2637565786 modified "2023-09-27" @default.
- W2637565786 title "Performance analysis of coarray-based MUSIC and the Cramér-Rao bound" @default.
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- W2637565786 doi "https://doi.org/10.1109/icassp.2017.7952719" @default.
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