高级搜索

四元数域对合增广宽线性自适应波束形成

刘志文 王荔 徐友根

引用本文: 刘志文, 王荔, 徐友根. 四元数域对合增广宽线性自适应波束形成[J]. 电子与信息学报, 2017, 39(7): 1525-1531. doi: 10.11999/JEIT160988 shu
Citation:  LIU Zhiwen, WANG Li, XU Yougen. Quaternion-valued Widely Linear Adaptive Beamformingvia Involution Augmentation[J]. Journal of Electronics and Information Technology, 2017, 39(7): 1525-1531. doi: 10.11999/JEIT160988 shu

四元数域对合增广宽线性自适应波束形成

摘要: 该文提出一种基于4元数的宽线性自适应波束形成方法,该方法在利用4元数构建单个阵元输出的基础上,通过充分挖掘4元数的3种对合信息,联合信号的非圆特性,建立4元数域对合增广信号模型,进而实现4元数域宽线性自适应波束形成。同传统4元数波束形成技术相比,该方法对非圆信号的接收性能显著提升,同时可以实现阵列虚拟孔径扩展,增大自适应波束形成干扰抑制自由度。仿真实验验证了所提波束形成方法的性能。

English

    1. [1]

      LI J and STOICA P. Robust Adaptive Beamforming[M]. New York: Wiley, 2005: 1-410.

    2. [2]

      JIANG X, ZENG W, YASOTHARAN A, et al. Quadratically constrained minimum dispersion beamforming via gradient projection[J]. IEEE Transactions on Signal Processing, 2015, 63(1): 192-205. doi: 10.1109/TSP.2014.2367464.

    3. [3]

      刘子威, 苏洪涛, 胡勤振. 一种零陷展宽稳健旁瓣相消算法[J]. 电子与信息学报, 2016, 38(3): 565-570. doi: 10.11999/ JEIT150686.

    4. [4]

      LIU Ziwei, SU Hongtao, and HU Qinzhen. Robust sidelobes cancellation algorithm with null broadening[J]. Journal of Electronics Information Technology, 2016, 38(3): 565-570. doi: 10.11999/JEIT150686.

    5. [5]

      李立欣, 白童童, 张会生, 等. 改进的双约束稳健Capon波束形成算法[J]. 电子与信息学报, 2016, 38(8): 2014-2019. doi: 10.11999/JEIT151213.

    6. [6]

      LI Lixin, BAI Tongtong, ZHANG Huisheng, et al. Improved double constraint robust Capon beamforming algorithm[J]. Journal of Electronics Information Technology, 2016, 38(8): 2014-2019. doi: 10.11999/JEIT151213.

    7. [7]

      RUAN H and DE LAMARE R C. Robust adaptive beamforming based on low-rank and cross-correlation techniques[C]. Proceedings of IEEE 23rd European Signal Processing Conference, Nice, France, 2015: 3919-3932. doi: 10.1109/TSP.2016.2550006.

    8. [8]

      LI Y, MA H, YU D, et al. Iterative robust Capon beamforming[J]. Signal Processing, 2016, 118: 211-220. doi: 10.1016/ j.sigpro.2015.07.004.

    9. [9]

      COMPTON R T. On the performance of a polarization sensitive adaptive array[J]. IEEE Transactions on Antennas and Propagation, 1981, 29(5): 718-725. doi: 10.1109/TAP. 1981.1142651.

    10. [10]

      COMPTON R T. The tripole antenna: An adaptive array with full polarization flexibility[J]. IEEE Transactions on Antennas and Propagation, 1981, 29(6): 944-952. doi: 10.1109/TAP.1981.1142690.

    11. [11]

      NEHORAI A, HO K C, and TAN B T G. Minimum- noise-variance beamformer with an electromagnetic vector sensor[J]. IEEE Transactions on Signal Processing, 1999, 47(3): 601-618. doi: 10.1109/ 78.747769.

    12. [12]

      MIRON S, BIHAN N L, and MARS J I. Quaternion-MUSIC for vector-sensor array processing[J]. IEEE Transactions on Signal Processing, 2006, 54(4): 1218-1229. doi: 10.1109/ TSP.2006.870630.

    13. [13]

      GONG X F, XU Y G, and LIU Z W. Quaternion ESPRIT for direction finding with a polarization sentive array[C]. Proceedings of International Conference on Signal Processing, Beijing, China, 2008: 378-381. doi: 10.1109/ICOSP.2008. 4697149.

    14. [14]

      BIHAN N L, MIRON S, and MARS J I. MUSIC algorithm for vector-sentors array using biquaternions[J]. IEEE Transactions on Signal Processing, 2007, 55(9): 4523-4533. doi: 10.1109/TSP.2007.896067.

    15. [15]

      李旦, 蒋景飞, 张建秋. 双四元数矢量传感器阵列模型和电磁源定位[J]. 电子学报, 2011, 39(9): 1997-2003.

    16. [16]

      LI Dan, JIANG Jingfei, and ZHANG Jianqiu. Biquaternion vector-sensor array model and electromagnetic source localization[J]. Acta Electronica Sinica, 2011, 39(9): 1997-2003.

    17. [17]

      GOU X M, XU Y G, LIU Z W, et al. Quaternion-Capon beamformer using crossed-dipole arrays[C]. Proceedings of IEEE International Symposium on Microwave, Antenna, Propagation, and EMC Technologies for Wireless Communications, Beijing, China, 2011: 34-37. doi: 10.1109/ MAPE. 2011.6156140.

    18. [18]

      TAO J W and CHANG W X. A novel combined beamformer based on hypercomplex processes[J]. IEEE Transactions on Aerospace and Electronic Systems, 2013, 49(2): 1276-1289. doi: 10.1109/TAES.2013.6494413.

    19. [19]

      ZHANG X R, LIU W, XU Y G, et al. Quaternion-valued robust adaptive beamformer for electromagnetic vector- sensor arrays with worst-case constraint[J]. Signal Processing, 2014, 104(6): 274-283. doi: 10.1016/j.sigpro. 2014.04.006.

    20. [20]

      JIANG M D, LIU W, and LI Y. Adaptive beamforming for vector-sensor arrays based on a reweighted zero-attracting quaternion-valued LMS algorithm[J]. IEEE Transactions on Circuits and Systems II: Express Briefs, 2016, 63(3): 274-278. doi: 10.1109/TCSII.2015.2482464.

    21. [21]

      TOOK C C and MANDIC D P. A quaternion widely linear adaptive filter[J]. IEEE Transactions on Signal Processing, 2010, 58(8): 4427-4431. doi: 10.1109/TSP.2010.2048323.

    22. [22]

      ZHANG X R, LIU Z W, FAN Z Y, et al. Quaternion-valued robust adaptive beamformer based on widely linear processing[C]. Proceedings of the International Conference on Digital Signal Processing, Hong Kong, China, 2014: 719-724. doi: 10.1109/ ICDSP.2014.6900758.

    23. [23]

      CHEVALIER P and BLIN A. Widely linear MVDR beamformers for the reception of an unknown signal corrupted by noncircular interferences[J]. IEEE Transactions on Signal Processing, 2007, 55(11): 5323-5336. doi: 10.1109/ TSP.2007.899394.

    24. [24]

      WANG G H, LIE J P, and SEE C M S. A robust approach to optimum widely linear MVDR beamformer[C]. Proceedings of the International Conference on Acoustic, Speech and Signal Processing, Kyoto, Japan, 2012: 2593-2596. doi: 10. 1109/ ICASSP.2012.6288447.

    25. [25]

      XU Y G, MA J Y, LIU Z W, et al. A class of diagonally loaded robust Capon beamformers for noncircular signals of interest[J]. Signal Processing, 2014, 94(1): 670-680. doi: 10.1016/j.sigpro.2013.07.013.

    26. [26]

      WARD J P. Quaternions and Cayley Numbers: Algebra and Applications[M]. Norwell, Massachusetts: Kluwer, 1997: 54-102.

    27. [27]

      TODD A E and STEPHEN J S. Quaternion involutions and anti-involutions[J]. Computer and Mathematics with Applications, 2007, 53(1): 137-143. doi: 10.1016/j.camwa. 2006.10.029.

    28. [28]

      JIANG M D, LI Y, and LIU W. Properties of a general quaternion-valued gradient operator and its applications to signal processing[J]. Frontiers of Information Technology and Electronic Engineering, 2016, 17(2): 83-95. doi: 10.1631/ FITEE.1500334.

    29. [29]

      LIU J, LIU W J, CHEN B, et al. Modified Rao test for multichannel adaptive signal detection[J]. IEEE Transactions on Signal Processing, 2016, 64(3): 714-725. doi: 10.1109/ TSP.2015.2491892.

    1. [1]

      杨学敏, 李广军, 郑植. 基于稀疏表示的相干分布式非圆信号的参数估计. 电子与信息学报, 2014, 36(1): 164-168.

    2. [2]

      杨涛, 苏涛, 何学辉. 基于波束域导向矢量估计的稳健自适应波束形成方法. 电子与信息学报, 2013, 35(11): 2758-2763.

    3. [3]

      金伟, 贾维敏, 姚敏立. 迭代对角加载采样矩阵求逆鲁棒自适应波束形成. 电子与信息学报, 2012, 34(5): 1120-1125.

    4. [4]

      陈倩, 邓云凯, 刘亚东, 尚秀芹. 基于自适应滤波的DPC-MAB SAR方位向信号重建. 电子与信息学报, 2012, 34(6): 1331-1336.

    5. [5]

      贾琼, 李兵兵. 基于非圆信号的局部最大功效不变检验频谱感知方法. 电子与信息学报, 2016, 38(6): 1391-1397.

    6. [6]

      陈亮, 盛卫星, 韩玉兵, 马晓峰. 一种改进子空间投影自适应单脉冲算法. 电子与信息学报, 2013, 35(9): 2100-2107.

    7. [7]

      阮宗利, 李立萍, 钱国兵, 罗明刚. 基于含噪复值ICA信号模型的快速不动点算法. 电子与信息学报, 2014, 36(5): 1094-1099.

    8. [8]

      窦慧晶, 王千龙, 张雪. 基于小波阈值去噪和共轭模糊函数的时频差联合估计算法. 电子与信息学报, 2016, 38(5): 1123-1128.

    9. [9]

      邱天爽. 相关熵与循环相关熵信号处理研究进展. 电子与信息学报, 2020, 42(1): 105-118.

    10. [10]

      王超, 刘伟, 袁培苑. 基于细粒度任务分配的空时自适应并行处理算法研究. 电子与信息学报, 2012, 34(6): 1398-1403.

    11. [11]

      张兰勇, 刘繁明, 李冰. 基于聚谱分析的多通道盲信号自适应分离算法. 电子与信息学报, 2014, 36(1): 158-163.

    12. [12]

      刘亚新, 赵瑞珍, 胡绍海, 姜春晖. 用于压缩感知信号重建的正则化自适应匹配追踪算法. 电子与信息学报, 2010, 32(11): 2713-2717.

    13. [13]

      郭瑞, 蔡志明, 姚直象. 线性调频信号主瓣不展宽旁瓣抑制方法. 电子与信息学报, 2014, 36(2): 298-303.

    14. [14]

      熊竹林, 刘策伦, 安建平. 一种低复杂度线性调频信号参数估计算法. 电子与信息学报, 2015, 37(2): 489-493.

    15. [15]

      李海森, 李珊, 周天, 鲁东. 多波束回波信号可变带宽滤波算法及其FPGA实现. 电子与信息学报, 2011, 33(10): 2396-2401.

    16. [16]

      刘颖, 陈殿仁, 陈磊, 李兴广. 基于周期Choi-Williams Hough变换的线性调频连续波信号参数估计算法. 电子与信息学报, 2015, 37(5): 1135-1140.

    17. [17]

      查翔, 倪世宏, 张鹏. 一类非线性信号去噪的奇异值分解有效迭代方法. 电子与信息学报, 2015, 37(6): 1330-1335.

    18. [18]

      王昊, 马启明. 修正主模抑制稳健自适应波束形成算法. 电子与信息学报, 2017, 39(11): 2620-2626.

    19. [19]

      杨志伟, 贺顺, 廖桂生, 刘楠. 子空间重构的一类自适应波束形成算法. 电子与信息学报, 2012, 34(5): 1115-1119.

    20. [20]

      邹翔, 张旻, 钟子发. 基于失配误差正交分解的稳健自适应波束形成. 电子与信息学报, 2010, 32(10): 2320-2323.

  • 加载中
计量
  • PDF下载量:  429
  • 文章访问数:  496
  • HTML全文浏览量:  16
文章相关
  • 收稿日期:  2016-09-29
  • 录用日期:  2017-02-10
  • 刊出日期:  2017-07-19
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

/

返回文章