南京大学学报(自然科学版) ›› 2016, Vol. 52 ›› Issue (5): 932.
张涛涛,张兴敢*
Zhang Taotao,Zhang Xinggan*
摘要: 经典MUSIC算法的统计特性主要建立在阵元数固定且快拍数趋于无穷的情况下,在有限样本中,当快拍数无法满足远大于阵元数的条件时,DOA估计会产生偏差.对于宽带信号的DOA估计,利用相干信号子空间(Coherent Signalsubspace Method,CMS)方法,构造聚焦矩阵使不同频率的信号子空间映射到同一参考频率上,用聚焦后的频域窄带模型进行DOA估计,并针对在实际应用中,阵列的阵元数较大且快拍数受限时经典MUSIC算法估计精度不高的情况,利用改进后的MUSIC算法SpikeMUSIC算法,提高DOA估计精度.在不同信噪比下,分别对DOA估计的误差进行了MonteCarlo仿真实验,仿真结果表明,相对于普通的CSM方法,基于SpikeMUSIC算法改进的CSM方法在宽带DOA估计中具有更高的精度.
[1] 张小飞,汪飞,陈伟华. 阵列信号处理的理论与应用. 北京:国防工业出版社,2013,71-134. (Zhang X F, Wang F, Chen W F, Array signal processing theory and application. Beijing: National Defend Industry Press,2013,71-134.) [2] 赵娜. 阵列信号处理中的DOA估计及BDF技术研究.硕士学论文.成都:电子科技大学,2007,1-22.(Zhang N. DOA estimation and BDF technology research. Master Dissertation. Chengdu: University Of Electronic Science And Technology Of China,2007,1-22) [3] 王永良,陈辉,彭应宁等.空间谱估计理论与算法. 北京:清华大学出版社.2004,18-52.(Wang Y L, Chen H, Peng Y N, et al. Spatial spectrum estimation theory and algorithm. Beijing: Tsinghua University Press ,2004,18-52) [4] Doron M A, Weiss A J. On focusing matrices for wideband array processing. IEEE Trans. Signal Processing,1992.6,40(6):1295-1302. [5] Hung H, Kaveh M. Focusing matrices for coherent signal-subspace processing,IEEE Trans. Speech, and Signal Processing,1988,36(8):1272-1281. [6] 吴秀芬.宽带阵列信号DOA估计方法研究.硕士学论文.南京:南京大学.2013,16-38.(Wu X F, Study on DOA estimation method of wideband array signals. Master Dissertation. Nanjing: Nanjing University, 2013, 16-38.) [7] 薄保林. 宽带阵列信号DOA估计算法研究.硕士学论文.西安:西安电子科技大学.2007, 11-27(Bo B L, Study on DOA estimation algorithm of wideband array signals. Master Dissertation. Xi’an: Xidian University,2007,11-27.) [8] 杨桂芹,房琪,胡滢.阵列天线DOA估计中MUSIC算法性能综合分析.兰州交通大学学报,2011,30(3):86-91.(Yang G Q, Fang Q, Hu Y. Performance analysis of MUSIC algorithm in DOA estimation of array antenna. Journal of Lanzhou Jiaotong University,2011,30(3):86-91.) [9] 何子述,黄振兴,向敬成,修正MUSIC算法对相关信号源的DOA估计性能.通信学报.2000,21(10):14-17.(He Z S, Hang Z X, Xiang J C. The Performance of DOA estimation for correlated signals by modified MUSIC algorithm. Journal on Communication.2002, 21(10):14-17.) [10] Vallet P, Hachem X, Hachem P, et al. An improved music algorithm based on low rank perturbation of large random matrices. France: IEEE Statistical Signal Processing Workshop(SSP),2011:689-692. [11] Benauych-Georges F, Rao R. The eigenvalues and eigenvectors of finite, low rank perturbations of large random matrices. Advances in Mathematics,227(1):494-521. [12] Mestre X, Lagunas M. Modified subspace algorithms for DOA estimation with large arrays. IEEE Transations on Signal Processing,2008,56(2):598 [13] Loubaton P, Vallet P. Almost sure location of the eigenvalues in a Gaussian information plus noise model- Application to the spiked models, Electronic Journal of Probability,2011,16:1934-1959. |
No related articles found! |
|