Analysis of a Signal Estimation Algorithm for Diversely Polarized Arrays

Anthony J. Weiss; Benjamin Friedlander

doi:10.1109/78.229894

Analysis of a Signal Estimation Algorithm for Diversely Polarized Arrays

Anthony J. Weiss, Benjamin Friedlander

School of Electrical Engineering

University of California at Davis

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

11 Scopus citations

Abstract

We consider the problem of separating and estimating the waveforms of superimposed signals received by a diversely polarized array. Signal estimation is accomplished by a two step procedure: 1) The direction of arrivals and polarization parameters of all the signals are estimated using an eigenstructure-based technique. 2) The estimated signal is obtained as a linear combination of the array outputs, with weights which are computed from the estimated direction/polarization parameters. The objective of this paper is to analyze the quality of the estimated signal in terms of the output signal-to-interference ratio (SIR) and output signal-to-noise ratio (SNR). Closed form expressions are derived for the output SIR and SNR of a general diversely polarized array. By evaluating these expressions for selected test cases it is shown that polarization sensitive arrays can provide significantly higher output SIR and SNR than uniformly polarized arrays. The performance improvement is especially significant for closely spaced sources with sufficiently different polarization characteristics.

Original language	English
Pages (from-to)	2628-2638
Number of pages	11
Journal	IEEE Transactions on Signal Processing
Volume	41
Issue number	8
DOIs	https://doi.org/10.1109/78.229894
State	Published - Aug 1993

Funding

Funders	Funder number
U.S. Army Communications
United States Amy Research Ofice	DAAL03-91 -C-0022

Access to Document

10.1109/78.229894

Cite this

@article{965bde4c779b472da49e0f223f237c49,

title = "Analysis of a Signal Estimation Algorithm for Diversely Polarized Arrays",

abstract = "We consider the problem of separating and estimating the waveforms of superimposed signals received by a diversely polarized array. Signal estimation is accomplished by a two step procedure: 1) The direction of arrivals and polarization parameters of all the signals are estimated using an eigenstructure-based technique. 2) The estimated signal is obtained as a linear combination of the array outputs, with weights which are computed from the estimated direction/polarization parameters. The objective of this paper is to analyze the quality of the estimated signal in terms of the output signal-to-interference ratio (SIR) and output signal-to-noise ratio (SNR). Closed form expressions are derived for the output SIR and SNR of a general diversely polarized array. By evaluating these expressions for selected test cases it is shown that polarization sensitive arrays can provide significantly higher output SIR and SNR than uniformly polarized arrays. The performance improvement is especially significant for closely spaced sources with sufficiently different polarization characteristics.",

author = "Weiss, {Anthony J.} and Benjamin Friedlander",

note = "Funding Information: Manuscript received March 10, 1992; revised September 18, 1992. The associate editor coordinating the review of this paper and approving it for publication was Prof. Miguel A. Lagunas. This work was supported by the United States Amy Research Ofice under Contract DAAL03-91 -C-0022, sponsored by U.S. Army Communications Electronics Command, Center for Signals Warfare. A. J. Weiss is with the Department of Electrical Engineering, Tel Aviv University, Tel Aviv, 69978, Israel. B. Friedlander is with the Department of Electrical and Computer Engineering, University of California, Davis CA 95616. IEEE Log Number 9209389.",

year = "1993",

month = aug,

doi = "10.1109/78.229894",

language = "אנגלית",

volume = "41",

pages = "2628--2638",

journal = "IEEE Transactions on Signal Processing",

issn = "1053-587X",

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

number = "8",

}

TY - JOUR

T1 - Analysis of a Signal Estimation Algorithm for Diversely Polarized Arrays

AU - Weiss, Anthony J.

AU - Friedlander, Benjamin

N1 - Funding Information: Manuscript received March 10, 1992; revised September 18, 1992. The associate editor coordinating the review of this paper and approving it for publication was Prof. Miguel A. Lagunas. This work was supported by the United States Amy Research Ofice under Contract DAAL03-91 -C-0022, sponsored by U.S. Army Communications Electronics Command, Center for Signals Warfare. A. J. Weiss is with the Department of Electrical Engineering, Tel Aviv University, Tel Aviv, 69978, Israel. B. Friedlander is with the Department of Electrical and Computer Engineering, University of California, Davis CA 95616. IEEE Log Number 9209389.

PY - 1993/8

Y1 - 1993/8

N2 - We consider the problem of separating and estimating the waveforms of superimposed signals received by a diversely polarized array. Signal estimation is accomplished by a two step procedure: 1) The direction of arrivals and polarization parameters of all the signals are estimated using an eigenstructure-based technique. 2) The estimated signal is obtained as a linear combination of the array outputs, with weights which are computed from the estimated direction/polarization parameters. The objective of this paper is to analyze the quality of the estimated signal in terms of the output signal-to-interference ratio (SIR) and output signal-to-noise ratio (SNR). Closed form expressions are derived for the output SIR and SNR of a general diversely polarized array. By evaluating these expressions for selected test cases it is shown that polarization sensitive arrays can provide significantly higher output SIR and SNR than uniformly polarized arrays. The performance improvement is especially significant for closely spaced sources with sufficiently different polarization characteristics.

AB - We consider the problem of separating and estimating the waveforms of superimposed signals received by a diversely polarized array. Signal estimation is accomplished by a two step procedure: 1) The direction of arrivals and polarization parameters of all the signals are estimated using an eigenstructure-based technique. 2) The estimated signal is obtained as a linear combination of the array outputs, with weights which are computed from the estimated direction/polarization parameters. The objective of this paper is to analyze the quality of the estimated signal in terms of the output signal-to-interference ratio (SIR) and output signal-to-noise ratio (SNR). Closed form expressions are derived for the output SIR and SNR of a general diversely polarized array. By evaluating these expressions for selected test cases it is shown that polarization sensitive arrays can provide significantly higher output SIR and SNR than uniformly polarized arrays. The performance improvement is especially significant for closely spaced sources with sufficiently different polarization characteristics.

UR - http://www.scopus.com/inward/record.url?scp=0027649957&partnerID=8YFLogxK

U2 - 10.1109/78.229894

DO - 10.1109/78.229894

M3 - ???researchoutput.researchoutputtypes.contributiontojournal.article???

AN - SCOPUS:0027649957

SN - 1053-587X

VL - 41

SP - 2628

EP - 2638

JO - IEEE Transactions on Signal Processing

JF - IEEE Transactions on Signal Processing

IS - 8

ER -

Analysis of a Signal Estimation Algorithm for Diversely Polarized Arrays

Abstract

Funding

Access to Document

Other files and links

Fingerprint

Cite this