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

Research output: Journal article publication › Journal article › Academic research › peer-review

13 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 - Jun 2021

Keywords

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

ASJC Scopus subject areas

Signal Processing
Electrical and Electronic Engineering
Applied Mathematics

More information

10.1109/LSP.2021.3088051

Cite this

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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.",

keywords = "Cram{\'e}r-Rao bound (CRB), Direction-of-arrival (DOA) estimation, multiple frequencies, underdetermined",

author = "Yibao Liang and Wei Cui and Qing Shen and Wei Liu and Hantian Wu",

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AU - Liang, Yibao

AU - Cui, Wei

AU - Shen, Qing

AU - Liu, Wei

AU - Wu, Hantian

PY - 2021/6

Y1 - 2021/6

N2 - 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.

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.

KW - Cramér-Rao bound (CRB)

KW - Direction-of-arrival (DOA) estimation

KW - multiple frequencies

KW - underdetermined

UR - https://www.scopus.com/pages/publications/85111062858

U2 - 10.1109/LSP.2021.3088051

DO - 10.1109/LSP.2021.3088051

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VL - 28

SP - 1210

EP - 1214

JO - IEEE Signal Processing Letters

JF - IEEE Signal Processing Letters

M1 - 9449977

ER -

Cramér-Rao Bound for DOA Estimation Exploiting Multiple Frequency Pairs

Abstract

Keywords

ASJC Scopus subject areas

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