Objective metric for antenna patterns comparison using Mahalanobis-Taguchi-Gram-Schmidt method

被引:4
|
作者
Bekaryan, Arthur [1 ]
Song, Hyok J. [1 ]
Hsu, H. P. [1 ]
Schaffner, Jim [1 ]
Wiese, Richard [2 ]
机构
[1] HRL Labs LLC, Malibu, CA 90265 USA
[2] Gen Motors Corp, Milford, MI USA
关键词
antennas; comparison; MTGS; pattern analysis; quantitative metric; radiation pattern; similarity;
D O I
10.1109/VETECF.2007.197
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The application of the modified MTGS method offers a practical alternative to elementary statistical calculation for generating objective quantitative metric to measure the similarity between two data sets. Since the MTGS method can capture many degrees of variation between two data sets and discriminate between data sets which have dissimilar average magnitudes, correlation coefficients and uniformity, its application is much more efficient than elementary statistical analysis that evaluates each metric individually. The feasibility of modified MTGS method for similarity analysis, which used the difference in MD values calculated with MTGS method for the antenna radiation pattern similarity comparison, was successfully demonstrated through three test cases.
引用
收藏
页码:902 / +
页数:2
相关论文
共 50 条
  • [41] Comparison of gene expression patterns in Gram plus versus Gram-induced sepsis using different approaches
    Schmid, Katharina
    Schuller, Monika
    Panzitt, Katrin
    Zatloukal, Kurt
    van der Nest, Douw G.
    van Griensven, Martijn
    Redl, Heinz
    Schmidt-Gann, Gudrun
    SHOCK, 2008, 29 : 105 - 106
  • [42] Linear antenna array synthesis using Taguchi's method: A novel optimization technique in electromagnetics
    Weng, Wei-Chung
    Yang, Fan
    Elsherbeni, Atef Z.
    IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 2007, 55 (03) : 723 - 730
  • [43] OPTIMIZED NULL STEERING IN COMPACT BOWTIE ANTENNA ARRAY USING SIMULATION DRIVEN TAGUCHI METHOD
    Kaur, Baljinder
    Marwaha, Anupma
    METROLOGY AND MEASUREMENT SYSTEMS, 2020, 27 (01) : 3 - 17
  • [44] Improving Gram-Schmidt Adaptive Pansharpening Method Using Support Vector Regression and Markov Random Field
    Choe, Won-Il
    Jo, Jong-Song
    Ri, Kum-Su
    Sok, Kwang-Chol
    Ri, Yong-Ryong
    JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2024, 52 (09) : 2073 - 2081
  • [45] HOW TO PAN-SHARPEN IMAGES USING THE GRAM-SCHMIDT PAN-SHARPEN METHOD - A RECIPE
    Maurer, T.
    ISPRS HANNOVER WORKSHOP 2013, 2013, 40-1 (W-1): : 239 - 244
  • [46] Key native fluorophores analysis of human breast cancer tissues using Gram-Schmidt subspace method
    Pu, Yang
    Sordillo, Laura A.
    Yang, Yuanlong
    Alfano, R. R.
    OPTICS LETTERS, 2014, 39 (24) : 6787 - 6790
  • [47] Hybrid multi-objective shape design optimization using Taguchi's method and genetic algorithm
    Yildiz, Ali R.
    Ozturk, Nursel
    Kaya, Necmettin
    Ozturk, Ferruh
    STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2007, 34 (04) : 317 - 332
  • [48] Hybrid multi-objective shape design optimization using Taguchi’s method and genetic algorithm
    Ali R. Yıldız
    Nursel Öztürk
    Necmettin Kaya
    Ferruh Öztürk
    Structural and Multidisciplinary Optimization, 2007, 34 : 317 - 332
  • [49] An optimisation of the internal roller burnishing process for magnesium composites using Taguchi Multi objective optimization method
    Prasad, K. R. Arun
    John, M. R. Stalin
    MATERIALS SCIENCE AND TECHNOLOGY, 2024, 40 (17) : 1297 - 1305
  • [50] Multi-objective optimization of process parameters for the helical gear precision forging by using Taguchi method
    Feng Wei
    Hua Lin
    Journal of Mechanical Science and Technology, 2011, 25 : 1519 - 1527