Page 13 - 《应用声学》2021年第4期
P. 13

第 40 卷 第 4 期           姚琳等: MIMO 声呐的双尺度旋转不变子空间波达方向估计                                        497


                 Cheng Xue, Wang Yingmin. A low complexity covariance  Technology, 2018.
                 matrix reconstruction method of MIMO sonar[J]. Journal  [19] Shi W, Huang J, Zhang Q, et al. DOA estimation in
                 of Applied Acoustics, 2019, 38(4): 666–673.       monostatic MIMO array based on sparse signal recon-
             [11] Tabrikian  J,  Bekkerman  I.  Transmission  diversity  struction[C]// IEEE International Conference on Signal
                 smoothing for multi-target localization [radar/sonar sys-  Processing. IEEE, 2016.
                 tems][C]// IEEE International Conference on Acoustics.  [20] Zhang X, Xu D. Low-complexity ESPRIT-based DOA
                 IEEE, 2005.                                       estimation for colocated MIMO radar using reduced-
             [12] Xu L, Li J, Stoica P, et al. Target detection and parame-  dimension transformation[J]. Electronics Letters, 2011,
                 ter estimation for MIMO radar systems[J]. Aerospace and  47(4): 283–284.
                 Electronic Systems, IEEE Transactions on, 2008.  [21] Lemma A N, Alle-J V D V. Multiresolution ESPRIT algo-
             [13] Fan K, Sun C, Liu X, et al. MIMO sonar DOA esti-  rithm[J]. IEEE Transactions on Signal Processing, 1999,
                 mation based on improved transmitting diversity smooth-  47(6): 1722–1726.
                 ing (TDS)[C]// MTS/IEEE Charleston OCEANS Confer-  [22] Vasylyshyn V I. Closed-form DOA estimation with mul-
                 ence, 2018.                                       tiscale unitary ESPRIT algorithm[C]// European Radar
             [14] Xu D, Zhang X, Huang Y, et al. Reduced-complexity  Conference. IEEE, 2004: 317–320.
                 Capon for direction of arrival estimation in a monos-  [23] Zheng G, Chen B. Unitary dual-resolution ESPRIT
                 tatic multiple-input multiple-output radar[J]. IET Radar,  for joint DOD and DOA estimation in bistatic MIMO
                 Sonar & Navigation, 2012, 6(8): 796–801.          radar[J]. Multidimensional Systems and Signal Process-
             [15] Cheng X, Wang Y. Multi-target localization analysis  ing, 2015, 26(1): 159–178.
                 based on nonparametric spectral estimation method for  [24] Zheng G. DOA estimation in MIMO radar with non-
                 MIMO sonar [C]// IEEE International Conference on Sig-  perfectly orthogonal waveforms[J]. IEEE Communications
                 nal Processing, Communications and Computing, IEEE  Letters, 2017, 21(2): 414–417.
                 Press, 2017: 1–5.                              [25] 马严, 陈伯孝, 杨明磊, 等. 基于 ESPRIT 的多基线分布式
             [16] Zhang Y, Zhang G, Wang X. Computationally efficient  阵列 DOA 估计方法 [J]. 系统工程与电子技术, 2014, 36(8):
                 DOA estimation for monostatic MIMO radar based on  1453–1459.
                 covariance matrix reconstruction[J]. Electronics Letters,  Ma Yan, Chen Baixiao, Yang Minglei, et al.  Multi-
                 2017, 53(2): 111–113.                             baseline distributed array DOA estimation using ESPRIT
             [17] Duofang C, Baixiao C, Guodong Q. Angle estimation us-  algorithm[J]. System Engineering and Electronics, 2014,
                 ing ESPRIT in MIMO radar[J]. Electronics Letters, 2008,  36(8): 1453–1459.
                 44(12): 770–771                                [26] Zhang X, Xu L, Xu L, et al. Direction of departure (DOD)
             [18] Chen F, Zheng J, Dai J. DOD and DOA estimation   and direction of arrival (DOA) estimation in MIMO radar
                 for bistatic MIMO radars with sparse bayesian learn-  with reduced dimension MUSIC, IEEE Communication
                 ing [C]//in 2018 International Workshop on Antenna  Letters, 2010, 14(12): 1161–1163.
   8   9   10   11   12   13   14   15   16   17   18