Cramér-Rao Bound for DOA Estimation Exploiting Multiple Frequency Pairs

The Cramér-Rao bound (CRB) for direction of arrival (DOA) estimation exploiting both auto-correlation and cross-correlation information within multiple frequencies of the received array signals is derived. It provides a tighter bound than the existing CRB for the dual-frequency scenario. For the mul...

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Veröffentlicht in:IEEE signal processing letters 2021, Vol.28, p.1210-1214
Hauptverfasser: Liang, Yibao, Cui, Wei, Shen, Qing, Liu, Wei, Wu, Hantian
Format: Artikel
Sprache:eng
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Zusammenfassung:The Cramér-Rao bound (CRB) for direction of arrival (DOA) estimation exploiting both auto-correlation and cross-correlation information within multiple frequencies of the received array signals is derived. It provides a tighter bound than the existing CRB for the dual-frequency scenario. For the multiple frequencies, it is much lower than its dual-frequency counterpart, and also exists for a greater number of sources, thereby validating that exploiting multiple frequency pairs can improve both estimation accuracy and target resolvability.
ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2021.3088051