Pattern characteristics of linear arrays using the constrained least squares distribution

被引:6
|
作者
Melde, KL [1 ]
Taylor, ML [1 ]
机构
[1] Univ Arizona, Dept Elect & Comp Engn, Tucson, AZ 85721 USA
关键词
active array antennas; antenna array pattern synthesis; phased array antennas;
D O I
10.1109/TAP.2003.811093
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The constrained least squares (CLS) distribution is a method for obtaining distribution functions that yield low sidelobe patterns with specified constraints on the aperture efficiency, and are especially useful for the transmit patterns of active array antennas. The widely used Taylor distribution optimizes only pattern performance while the CLS distribution optimizes pattern performance while taking into account the constraints on both the peak element amplitude and the total effective radiated voltage (ERV) of the aperture distribution. This paper compares the pattern characteristics of linear arrays with CLS and Taylor distributions. The results help to establish guidelines on when a CLS distribution would be preferable over a Taylor distribution when a specified aperture efficiency is important.
引用
下载
收藏
页码:772 / 775
页数:4
相关论文
共 50 条
  • [21] A reduced Newton method for constrained linear least-squares problems
    Morini, Benedetta
    Porcelli, Margherita
    Chan, Raymond H.
    JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2010, 233 (09) : 2200 - 2212
  • [22] On the equivalence of constrained total least squares and structured total least squares
    Lemmerling, P
    DeMoor, B
    VanHuffel, S
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1996, 44 (11) : 2908 - 2911
  • [23] Enhanced estimation of motor unit number and distribution using linear least squares modeling
    Krishnamachari, Srivathsan
    Kong, Xuan
    2005 27TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-7, 2005, : 1118 - 1119
  • [24] Diffusional Kurtosis Imaging using a fast Heuristic Constrained Linear Least Squares Algorithm: a plugin for OsiriX
    Mesquita, Nuno
    Santinha, Joao
    Fonseca, Jose
    2015 IEEE 4TH PORTUGUESE MEETING ON BIOENGINEERING (ENBENG), 2015,
  • [25] Hybrid TDOA and AOA Localization Using Constrained Least Squares
    Oh, Jungkeun
    Lee, Kyunghyun
    You, Kwanho
    IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2015, E98A (12) : 2713 - 2718
  • [26] Comparison of the linear least squares and nonlinear least squares spheres
    Chen, KW
    Papadoupoulos, AS
    MICROELECTRONICS AND RELIABILITY, 1996, 36 (01): : 37 - 46
  • [27] Suboptimality of constrained least squares and improvements via non-linear predictors
    Vaskevicius, Tomas
    Zhivotovskiy, Nikita
    BERNOULLI, 2023, 29 (01) : 473 - 495
  • [28] FULLY CONSTRAINED LEAST SQUARES LINEAR SPECTRAL UNMIXING OF THE SCREAM (VERSO, 1893)
    Deborah, Hilda
    Ulfarsson, Magnus Orn
    Sigurdsson, Jakob
    2021 11TH WORKSHOP ON HYPERSPECTRAL IMAGING AND SIGNAL PROCESSING: EVOLUTION IN REMOTE SENSING (WHISPERS), 2021,
  • [29] Convexly constrained linear inverse problems: Iterative least-squares and regularization
    Sabharwal, A
    Potter, LC
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1998, 46 (09) : 2345 - 2352
  • [30] The quasi-stochastically constrained least squares method for ill linear regression
    Li, Siming
    Sheng, Yao
    Li, Yong
    COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2016, 45 (02) : 217 - 225