Method of adaptive pattern control based on the two-step least-squares

Chao Ren; Yong Qing Wang

Method of adaptive pattern control based on the two-step least-squares

Chao Ren^*
, Yong Qing Wang

^*Corresponding author for this work

Space Star Technology CO.LTD
Beijing Institute of Technology

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

1 Citation (Scopus)

Abstract

A novel adaptive pattern control method is proposed in this paper, which improves the desired array response and direction matrix of two-step least-squares iterative algorithm. The side-lobe pattern control can be achieved by utilizing the randomness of the desired pattern phase and updating iteratively the phase of desired pattern and weigh vector. The efficiency of the proposed algorithm is verified by computer simulation and theoretical analysis.

Original language	English
Pages (from-to)	1090-1093
Number of pages	4
Journal	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume	30
Issue number	9
Publication status	Published - Sept 2010
Externally published	Yes

Keywords

Beamforming
Steering vector
Two-step least-squares

Cite this

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title = "Method of adaptive pattern control based on the two-step least-squares",

abstract = "A novel adaptive pattern control method is proposed in this paper, which improves the desired array response and direction matrix of two-step least-squares iterative algorithm. The side-lobe pattern control can be achieved by utilizing the randomness of the desired pattern phase and updating iteratively the phase of desired pattern and weigh vector. The efficiency of the proposed algorithm is verified by computer simulation and theoretical analysis.",

keywords = "Beamforming, Steering vector, Two-step least-squares",

author = "Chao Ren and Wang, \{Yong Qing\}",

year = "2010",

month = sep,

language = "English",

volume = "30",

pages = "1090--1093",

journal = "Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology",

issn = "1001-0645",

publisher = "Beijing Institute of Technology",

number = "9",

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TY - JOUR

T1 - Method of adaptive pattern control based on the two-step least-squares

AU - Ren, Chao

AU - Wang, Yong Qing

PY - 2010/9

Y1 - 2010/9

N2 - A novel adaptive pattern control method is proposed in this paper, which improves the desired array response and direction matrix of two-step least-squares iterative algorithm. The side-lobe pattern control can be achieved by utilizing the randomness of the desired pattern phase and updating iteratively the phase of desired pattern and weigh vector. The efficiency of the proposed algorithm is verified by computer simulation and theoretical analysis.

AB - A novel adaptive pattern control method is proposed in this paper, which improves the desired array response and direction matrix of two-step least-squares iterative algorithm. The side-lobe pattern control can be achieved by utilizing the randomness of the desired pattern phase and updating iteratively the phase of desired pattern and weigh vector. The efficiency of the proposed algorithm is verified by computer simulation and theoretical analysis.

KW - Beamforming

KW - Steering vector

KW - Two-step least-squares

UR - https://www.scopus.com/pages/publications/78149241920

M3 - Article

AN - SCOPUS:78149241920

SN - 1001-0645

VL - 30

SP - 1090

EP - 1093

JO - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology

JF - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology

IS - 9

ER -

Method of adaptive pattern control based on the two-step least-squares

Abstract

Keywords

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