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

10 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

@article{fabe36625ca74d74a211042ca5803e40,

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",

note = "Publisher Copyright: {\textcopyright} 1994-2012 IEEE.",

year = "2021",

month = jun,

doi = "10.1109/LSP.2021.3088051",

language = "English",

volume = "28",

pages = "1210--1214",

journal = "IEEE Signal Processing Letters",

issn = "1070-9908",

publisher = "IEEE",

}

TY - JOUR

T1 - Cramér-Rao Bound for DOA Estimation Exploiting Multiple Frequency Pairs

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 - http://www.scopus.com/inward/record.url?scp=85111062858&partnerID=8YFLogxK

U2 - 10.1109/LSP.2021.3088051

DO - 10.1109/LSP.2021.3088051

M3 - Journal article

AN - SCOPUS:85111062858

SN - 1070-9908

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

More information

Other files and links

Fingerprint

Cite this