Cramér-Rao Bound for DOA Estimation Exploiting Multiple Frequency Pairs

Yibao Liang; Wei Cui; Qing Shen; Wei Liu; Hantian Wu

doi:10.1109/LSP.2021.3088051

Cramér-Rao Bound for DOA Estimation Exploiting Multiple Frequency Pairs

Yibao Liang, Wei Cui, Qing Shen^*, Wei Liu, Hantian Wu

^*Corresponding author for this work

School of Information and Electronics

Research output: Contribution to journal › Article › peer-review

9 Citations (Scopus)

Abstract

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.

Original language	English
Article number	9449977
Pages (from-to)	1210-1214
Number of pages	5
Journal	IEEE Signal Processing Letters
Volume	28
DOIs	https://doi.org/10.1109/LSP.2021.3088051
Publication status	Published - 2021

Keywords

Cramér-Rao bound (CRB)
Direction-of-arrival (DOA) estimation
multiple frequencies
underdetermined

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10.1109/LSP.2021.3088051

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title = "Cram{\'e}r-Rao Bound for DOA Estimation Exploiting Multiple Frequency Pairs",

abstract = "The Cram{\'e}r-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.",

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AU - Shen, Qing

AU - Liu, Wei

AU - Wu, Hantian

PY - 2021

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AB - 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.

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Cramér-Rao Bound for DOA Estimation Exploiting Multiple Frequency Pairs

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Keywords

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