Response of sample covariance based MVDR beamformer to imperfect look and inhomogeneities

Christ D. Richmond

doi:10.1109/97.735426

Response of sample covariance based MVDR beamformer to imperfect look and inhomogeneities

Christ D. Richmond

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

15 Scopus citations

Abstract

The sample covariance based (SCB) minimum variance distortionless response (MVDR) beamformer has desirable properties under ideal homogeneous data conditions with perfect look. Such properties include maximum-likelihood optimality yielding an unbiased asymptotically efficient estimate of the signal parameter. When target array response mismatch exists and inhomogeneities are present, however, its performance can degrade considerably. Exact means and variances are given for the SCB MVDR beamformer output accounting simultaneously for finite sample support, imperfect look, and inhomogeneities demonstrating biased signal estimates and potentially extreme vulnuerability to undernulled interference and surprise jammers.

Original language	English (US)
Pages (from-to)	325-327
Number of pages	3
Journal	IEEE Signal Processing Letters
Volume	5
Issue number	12
DOIs	https://doi.org/10.1109/97.735426
State	Published - Dec 1 1998
Externally published	Yes

Keywords

Array response mismatch
Beamformer
Calibration errors
Covariance mismatch
Inhomogeneous
MVDR
Nonstationary
PST
Pointing errors
Power selected training
Sample covariance
Tapering

ASJC Scopus subject areas

Signal Processing
Electrical and Electronic Engineering
Applied Mathematics

Access to Document

10.1109/97.735426

Fingerprint Dive into the research topics of 'Response of sample covariance based MVDR beamformer to imperfect look and inhomogeneities'. Together they form a unique fingerprint.

Cite this

@article{23317ab5d2694dba80953016fba8c395,

title = "Response of sample covariance based MVDR beamformer to imperfect look and inhomogeneities",

abstract = "The sample covariance based (SCB) minimum variance distortionless response (MVDR) beamformer has desirable properties under ideal homogeneous data conditions with perfect look. Such properties include maximum-likelihood optimality yielding an unbiased asymptotically efficient estimate of the signal parameter. When target array response mismatch exists and inhomogeneities are present, however, its performance can degrade considerably. Exact means and variances are given for the SCB MVDR beamformer output accounting simultaneously for finite sample support, imperfect look, and inhomogeneities demonstrating biased signal estimates and potentially extreme vulnuerability to undernulled interference and surprise jammers.",

keywords = "Array response mismatch, Beamformer, Calibration errors, Covariance mismatch, Inhomogeneous, MVDR, Nonstationary, PST, Pointing errors, Power selected training, Sample covariance, Tapering",

author = "Richmond, {Christ D.}",

year = "1998",

month = dec,

day = "1",

doi = "10.1109/97.735426",

language = "English (US)",

volume = "5",

pages = "325--327",

journal = "IEEE Signal Processing Letters",

issn = "1070-9908",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "12",

}

TY - JOUR

T1 - Response of sample covariance based MVDR beamformer to imperfect look and inhomogeneities

AU - Richmond, Christ D.

PY - 1998/12/1

Y1 - 1998/12/1

N2 - The sample covariance based (SCB) minimum variance distortionless response (MVDR) beamformer has desirable properties under ideal homogeneous data conditions with perfect look. Such properties include maximum-likelihood optimality yielding an unbiased asymptotically efficient estimate of the signal parameter. When target array response mismatch exists and inhomogeneities are present, however, its performance can degrade considerably. Exact means and variances are given for the SCB MVDR beamformer output accounting simultaneously for finite sample support, imperfect look, and inhomogeneities demonstrating biased signal estimates and potentially extreme vulnuerability to undernulled interference and surprise jammers.

AB - The sample covariance based (SCB) minimum variance distortionless response (MVDR) beamformer has desirable properties under ideal homogeneous data conditions with perfect look. Such properties include maximum-likelihood optimality yielding an unbiased asymptotically efficient estimate of the signal parameter. When target array response mismatch exists and inhomogeneities are present, however, its performance can degrade considerably. Exact means and variances are given for the SCB MVDR beamformer output accounting simultaneously for finite sample support, imperfect look, and inhomogeneities demonstrating biased signal estimates and potentially extreme vulnuerability to undernulled interference and surprise jammers.

KW - Array response mismatch

KW - Beamformer

KW - Calibration errors

KW - Covariance mismatch

KW - Inhomogeneous

KW - MVDR

KW - Nonstationary

KW - PST

KW - Pointing errors

KW - Power selected training

KW - Sample covariance

KW - Tapering

UR - http://www.scopus.com/inward/record.url?scp=0032303445&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0032303445&partnerID=8YFLogxK

U2 - 10.1109/97.735426

DO - 10.1109/97.735426

M3 - Article

AN - SCOPUS:0032303445

VL - 5

SP - 325

EP - 327

JO - IEEE Signal Processing Letters

JF - IEEE Signal Processing Letters

SN - 1070-9908

IS - 12

ER -

Response of sample covariance based MVDR beamformer to imperfect look and inhomogeneities

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Cite this