Welcome to Journal of Beijing Institute of Technology
Volume 29Issue 2
.
Turn off MathJax
Article Contents
Guiyu Wang, Shun’an Zhong, Xiangnan Li, Xiaohua Wang, Shiwei Ren. 2D Augmented Coprime Array Geometry Based on the Difference and Sum Coarray Concept[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2020, 29(2): 158-166. doi: 10.15918/j.jbit1004-0579.19120
Citation: Guiyu Wang, Shun’an Zhong, Xiangnan Li, Xiaohua Wang, Shiwei Ren. 2D Augmented Coprime Array Geometry Based on the Difference and Sum Coarray Concept[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2020, 29(2): 158-166.doi:10.15918/j.jbit1004-0579.19120

2D Augmented Coprime Array Geometry Based on the Difference and Sum Coarray Concept

doi:10.15918/j.jbit1004-0579.19120
  • Received Date:2019-12-17
  • The concept of difference and sum (diff-sum) coarray has attracted a lot of attentions in the estimation of direction-of-arrival (DOA) for the past few years, due to its high degrees-of-freedom (DOFs). A vectorized conjugate augmented MUSIC (VCA-MUSIC) algorithm is applied to generate an equivalent signal model which contains the virtual sensor positions of both the difference and sum of the physical sensors in the two-dimensional (2D) arrays, by utilizing both the spatial and temporal information. Besides, an augmented 2D coprime array configuration is presented with the basis on the concept of difference and sum coarray. By compressing the inter-element spacing of one subarray and introducing the proper separation between the two subarrays of 2D coprime array, the redundancy between the difference coarray and the sum one can be reduced so that more virtual sensors in both coarrays can make contributions to the DOFs. As a result, a much larger consecutive area in the diff-sum coarray can be achieved, which can significantly increase the DOFs. Numerical simulations verify the superiority of the proposed array configuration.
  • loading
  • [1]
    Zhang W, Liu W, Wang J, et al. Computationally efficient 2-D DOA estimation for uniform rectangular arrays [J]. Multidimension Alsystems and Signal Process, 2014, 25(4): 847-857
    [2]
    Heidenreich P, Zoubir A M, Rubsamen M. Joint 2-D DOA estimation and phase calibration for uniform rectangular arrays [J]. IEEE Trans Signal Process, 2012, 60(9): 4683-4693
    [3]
    Pal P, Vaidyanathan P P. Nested arrays: A novel approach to arrayprocessing with enhanced degrees of freedom [J]. IEEE Trans Signal Process, 2010, 58(8): 4167-4181
    [4]
    Pal P, Vaidyanathan P P. Coprime sampling and the MUSIC algorithm[C]// Digital Signal Processing Workshop and IEEE Signal Processing Education Workshop (DSP/SPE), IEEE, 2011: 289-294.
    [5]
    Vaidyanathan P P, Pal P. Sparse sensing with co-prime samplers andarrays[C]// IEEE Trans Signal Process, 2011, 59: 573-586.
    [6]
    Liu C L, Vaidyanathan P. Super nested arrays: Linear sparse arrayswith reduced mutual coupling - Part I: Fundamentals [J]. IEEE Trans Signal Process, 2016, 64(15): 3997-4012
    [7]
    Liu C L, Vaidyanathan P. Super nested arrays: Linear sparse arrayswith reduced mutual coupling - Part II: High-order extensions [J]. IEEE Trans Signal Process, 2016, 64(16): 4203-4217
    [8]
    Liu J, Zhang Y, Lu Y, et al. Augmented nested arrayswith enhanced DOF and reduced mutual coupling [J]. IEEE Trans Signal Process, 2017, 65(21): 5549-5563
    [9]
    Qin S, Zhang Y D, Amin M G. Generalized coprime array configurations for direction-of-arrival estimation [J]. IEEE Trans Signal Process, 2015, 63(6): 1377-1390
    [10]
    Greene C R, Wood R C. Sparse array performance [J]. The Journal of the Acoustical Society of America, 1978, 63(6): 1866-1872
    [11]
    Liu C L, Vaidyanathan P P. Hourglass arrays and other novel 2-D sparse arrays with reduced mutual coupling [J]. IEEE Trans Signal Process, 2017, 65(13): 3369-3383
    [12]
    Ren S, Li X, Luo X, et al. Extensions of open box array with reduced mutual coupling [J]. IEEE Sensors Journal, 2018, 18(13): 5475-5484
    [13]
    Pal P, Vaidyanathan P. Nested arrays in two dimensions, part I: Geometrical considerations [J]. IEEE Trans Signal Process, 2012, 60(9): 4694
    [14]
    Pal P, Vaidyanathan P. Nested arrays in two dimensions, part II: Application in two dimensional array processing [J]. IEEE Trans Signal Process, 2012, 60(9): 4706-4718
    [15]
    Zheng W, Zhang X, Zhai H. Generalized coprime planar array geometryfor 2-D DOA estimation [J]. IEEE Comm Lett, 2017, 21(5): 1075-1078
    [16]
    Wang X, Chen Z, Ren S, et al. DOA estimation based on the difference and sum coarray for coprime arrays [J]. Digital Signal Process, 2017, 69: 22-31
    [17]
    Chen Z, Ding Y, Ren S, et al. A novel nested configuration based on the difference and sum co-array concept [J]. Sensors, 2018, 18(9): 2988
    [18]
    Zoltowski M, Haardt M, Mathews C P. Closed-form 2-d angle estimation with rectangular arrays in element space or beamspace viaunitary esprit [J]. IEEE Trans Signal Process, 1996, 44(2): 316-328
  • 加载中

Catalog

    通讯作者:陈斌, bchen63@163.com
    • 1.

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (739) PDF downloads(492) Cited by()
    Proportional views
    Related

    /

      Return
      Return
        Baidu
        map