Study on ADBF Methods at Subarray Level

Hu Hang; Deng Xinhong

doi:10.1109/APS.2006.1711338

Study on ADBF Methods at Subarray Level

Hu Hang^*
, Deng Xinhong

^*Corresponding author for this work

School of Electronics and Information Engineering

Harbin Institute of Technology

Research output: Contribution to journal › Conference article › peer-review

3 Scopus citations

Abstract

This paper studies ADBF at subarray level. We present the signal model, generalize the optimum weights at element level to ones at subarray level directly, get the general form of the conventional weights at subarray level and discuss it based on different criteria. Moreover, by introducing the mismatched vector we improve the optimum weights at subarray level. The improved methods can work not only in presence of jammers but also in the absence of jammers. The desired quiescent patterns can be obtained without SLL (Sidelobe Level) losses in the absence of jammers and also the SLL improves remarkably in presence of jammers. Simulation results indicate the validity of the introduced methods.

Original language	English
Pages (from-to)	3375-3378
Number of pages	4
Journal	AP-S International Symposium (Digest) (IEEE Antennas and Propagation Society)
DOIs	https://doi.org/10.1109/APS.2006.1711338
State	Published - 2006
Event	IEEE Antennas and Propagation Society International Symposium, APS 2006 - Albuquerque, NM, United States Duration: 9 Jul 2006 → 14 Jul 2006

Keywords

ADBF
Adaptive weight vector
Pattern control
Subarray level

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10.1109/APS.2006.1711338

Cite this

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title = "Study on ADBF Methods at Subarray Level",

abstract = "This paper studies ADBF at subarray level. We present the signal model, generalize the optimum weights at element level to ones at subarray level directly, get the general form of the conventional weights at subarray level and discuss it based on different criteria. Moreover, by introducing the mismatched vector we improve the optimum weights at subarray level. The improved methods can work not only in presence of jammers but also in the absence of jammers. The desired quiescent patterns can be obtained without SLL (Sidelobe Level) losses in the absence of jammers and also the SLL improves remarkably in presence of jammers. Simulation results indicate the validity of the introduced methods.",

keywords = "ADBF, Adaptive weight vector, Pattern control, Subarray level",

author = "Hu Hang and Deng Xinhong",

note = "Publisher Copyright: {\textcopyright}2006 IEEE; IEEE Antennas and Propagation Society International Symposium, APS 2006 ; Conference date: 09-07-2006 Through 14-07-2006",

year = "2006",

doi = "10.1109/APS.2006.1711338",

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journal = "AP-S International Symposium (Digest) (IEEE Antennas and Propagation Society)",

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TY - JOUR

T1 - Study on ADBF Methods at Subarray Level

AU - Hang, Hu

AU - Xinhong, Deng

PY - 2006

Y1 - 2006

N2 - This paper studies ADBF at subarray level. We present the signal model, generalize the optimum weights at element level to ones at subarray level directly, get the general form of the conventional weights at subarray level and discuss it based on different criteria. Moreover, by introducing the mismatched vector we improve the optimum weights at subarray level. The improved methods can work not only in presence of jammers but also in the absence of jammers. The desired quiescent patterns can be obtained without SLL (Sidelobe Level) losses in the absence of jammers and also the SLL improves remarkably in presence of jammers. Simulation results indicate the validity of the introduced methods.

AB - This paper studies ADBF at subarray level. We present the signal model, generalize the optimum weights at element level to ones at subarray level directly, get the general form of the conventional weights at subarray level and discuss it based on different criteria. Moreover, by introducing the mismatched vector we improve the optimum weights at subarray level. The improved methods can work not only in presence of jammers but also in the absence of jammers. The desired quiescent patterns can be obtained without SLL (Sidelobe Level) losses in the absence of jammers and also the SLL improves remarkably in presence of jammers. Simulation results indicate the validity of the introduced methods.

KW - ADBF

KW - Adaptive weight vector

KW - Pattern control

KW - Subarray level

UR - https://www.scopus.com/pages/publications/79960341419

U2 - 10.1109/APS.2006.1711338

DO - 10.1109/APS.2006.1711338

M3 - 会议文章

AN - SCOPUS:79960341419

SN - 1522-3965

SP - 3375

EP - 3378

JO - AP-S International Symposium (Digest) (IEEE Antennas and Propagation Society)

JF - AP-S International Symposium (Digest) (IEEE Antennas and Propagation Society)

T2 - IEEE Antennas and Propagation Society International Symposium, APS 2006

Y2 - 9 July 2006 through 14 July 2006

ER -

Study on ADBF Methods at Subarray Level

Abstract

Keywords

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