Please wait a minute...
J4  2009, Vol. 43 Issue (5): 812-816    DOI: 10.3785/j.issn.1008-973X.2009.05.005
自动化技术、计算机技术     
基于二次采样的贝叶斯波束成形
顾宇杰1,史治国1,李钰2,陈抗生1
(1.浙江大学 信息与电子工程学系,浙江 杭州 310027; 2.华东理工大学 通信与电子工程系,上海 200237)
Secondary sample based Bayesian beamforming
GU Yu-jie1, SHI Zhi-guo1, LI Yu2, CHEN Kang-sheng1
(1. Department of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China;
2. Department of Communication and Electronic Engineering, East China University of Science and Technology,
Shanghai 200237, China)
 全文: PDF(929 KB)  
摘要:

当期望信号的波达方向存在不确定时,自适应波束成形器会遭受严重的性能衰减.提出了一种基于二次采样的贝叶斯波束成形算法,根据阵列接收数据计算出一组候选波达方向的后验概率,并根据此后验概率的分布来判断是否需要进行二次采样.对各候选波达方向上的波束成形权值矢量线性加权,得到基于二次采样的贝叶斯波束成形器,权系数是它们各自的后验概率值.仿真结果表明,当实际的波达方向在候选波达方向集合所覆盖的范围之外时,与典型的贝叶斯波束成形算法相比,该算法在性能上有着明显的优势.

关键词: 波达方向不确定波束成形贝叶斯方法二次采样    
Abstract:

The adaptive beamformers often suffer severe performance degradation when there is a mismatch between the actual and presumed direction-of-arrival (DOA) of the desired signal. A Bayesian approach based on secondary sample to robust adaptive beamforming was proposed. Whether or not conducting the secondary sample is based on the distribution of the a posteriori probability of a set of candidate DOAs, which can be calculated from the received array signals. The resulting beamformer is a weighted sum of minimum variance distortionless response (MVDR) beamformers pointing at the latest set of DOAs, which are combined according to the value of the a posteriori probability for each pointing direction. Compared with the typical Bayesian approach to robust adaptive beamforming, the simulation on the case that the actual DOA is out of the region covered by the a priori DOA discrete set demonstrates that the proposed approach has obvious advantage in term of the array output signal-to-interference-plus-noise ratio (SINR).

Key words: direction-of-arrival (DOA)    uncertainty    beamforming    Bayesian approach    secondary sample
出版日期: 2009-06-01
:  TN911.7  
基金资助:

国家自然科学基金资助项目(60604029);浙江省自然科学基金资助项目(Y106384);中国博士后基金资助项目(20060400313).

通讯作者: 史治国,男,讲师,博士后.     E-mail: shizg@zju.edu.cn
作者简介: 顾宇杰(1980-),男,江苏如东人,博士生,从事鲁棒自适应波束成形研究.
服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章  
顾宇杰
史治国
李钰

引用本文:

顾宇杰, 史治国, 李钰, 等. 基于二次采样的贝叶斯波束成形[J]. J4, 2009, 43(5): 812-816.

GU Yu-Jie, SHI Chi-Guo, LI Yu, et al. Secondary sample based Bayesian beamforming. J4, 2009, 43(5): 812-816.

链接本文:

http://www.zjujournals.com/xueshu/eng/CN/10.3785/j.issn.1008-973X.2009.05.005        http://www.zjujournals.com/xueshu/eng/CN/Y2009/V43/I5/812

[1] KIM J W, UN C K. An adaptive array robust to beam pointing error [J]. IEEE Transactions on Signal Processing, 1992, 40(6): 15821584.
[2] JABLON N K. Adaptive beamforming with the generalized sidelobe canceller in the presence of array imperfections [J]. IEEE Transactions on Antennas and Propagation, 1986, 34(8): 9961012.
[3] COX H, ZESKIND R M, OWEN M H. Robust adaptive beamforming [J]. IEEE Transactions on Acoustics, Speech, and Signal Processing, 1987, 35(10): 13651376.
[4] CARLSON B D. Covariance matrix estimation errors and diagonal loading in adaptive arrays [J]. IEEE Transactions on Aerospace and Electronic Systems, 1988, 24(4): 397401.
[5] TSENG C Y, GRIFFITHS L J. A unified approach to the design of linear constraints in minimum variance adaptive beamformers [J]. IEEE Transactions on Antennas and  Propagation, 1992, 40(12): 15331542.
[6] CHANG L, YEH C C. Performance of DMI and eigenspace-based beamformers [J]. IEEE Transactions on Antennas and Propagation, 1992, 40(11): 13361347.
[7] BELL K L, EPHRAIM Y, TREES H L V. A Bayesian approach to robust adaptive beamforming [J]. IEEE Transactions on Signal Processing, 2000, 48(2): 386398.
[8] 李钰. OFDM系统波束成形研究[D]. 杭州:浙江大学, 2007: 6189.
LI Yu. Study about beamforming in the OFDM system [D]. Hangzhou: Zhejiang University, 2007: 6189.
[9] REED I S, MALLETT J D, BRENNAN L E. Rapid convergence rate in adaptive arrays [J]. IEEE Transactions on Aerospace and Electronic Systems, 1974, 10(6): 853863.
[10] PAPOULIS A. Probability, random variables, and stochastic processes [M]. 3rd ed. New York: McGraw Hill Company, 1991.
[11] VOROBYOV S A, GERSHMAN A B, LUO Z. Robust adaptive beamforming using worst-case performance optimization: a solution to the signal mismatch problem [J]. IEEE Transactions on Signal Processing, 2003, 51(2): 313324.

[1] 齐建鹏, 于彦伟, 王创存, 曹磊, 宋鹏. 基于多线程的不确定移动对象连续k近邻查询[J]. 浙江大学学报(工学版), 2018, 52(1): 142-150.
[2] 吴晨曦, 张旻, 王可人. 基于二级嵌套阵列的宽频段欠定波达方向估计[J]. 浙江大学学报(工学版), 2017, 51(5): 1016-1023.
[3] 王越, 苏宏业, 邵寒山, 卢山,谢磊. 需求与公用工程不确定的生产计划与调度集成[J]. 浙江大学学报(工学版), 2017, 51(1): 57-67.
[4] 张浩, 裘乐淼, 张树有, 张鹏. 基于集对分析的可重构机床配置方案评价方法[J]. 浙江大学学报(工学版), 2015, 49(7): 1232-1241.
[5] 金涨军, 李江雄, 俞慈君, 柯映林. 大尺寸空间测量中转站误差分析与估计[J]. 浙江大学学报(工学版), 2015, 49(4): 655-661.
[6] 胡根生,鲍文霞,梁栋,张为. 基于SVR和贝叶斯方法的全色与多光谱图像融合[J]. J4, 2013, 47(7): 1258-1266.
[7] 姚霄雯, 蒋建群, 刘国华. 基于拱冠位移的拱坝地震易损性[J]. J4, 2013, 47(10): 1839-1845.
[8] 欧阳柳,徐进,龚小谨,刘济林. 基于不确定性分析的视觉里程计优化[J]. J4, 2012, 46(9): 1572-1579.
[9] 张庆庆, 许月萍, 张徐杰, 徐晓. 基于DRAM的水质模拟不确定性分析和风险决策[J]. J4, 2012, 46(12): 2231-2236.
[10] 孙坚栋,蒋静坪. 具有时延和丢包的网络控制系统的镇定[J]. J4, 2011, 45(9): 1593-1597.
[11] 廖祖维, 宣吉, 荣冈, 章建栋. 基于模糊规划的石化企业蒸汽动力系统调度优化[J]. J4, 2011, 45(4): 621-626.
[12] 孙宁, 张化光, 王智良. 不确定分数阶混沌系统的滑模投影同步[J]. J4, 2010, 44(7): 1288-1291.
[13] 钱伟, 沈国江, 孙优贤. 中立型不确定时滞系统的鲁棒稳定性[J]. J4, 2010, 44(2): 232-236.
[14] 王华, 应晶, 蒋涛. 基于审查不确定性的预见式软件自适应[J]. J4, 2010, 44(2): 213-219.
[15] 邓军,余忠华,吴昭同. 基于信息熵的概念设计的质量评价[J]. J4, 2009, 43(8): 1480-1484.