基于特征波束形成的强弱信号波达方向与信源数估计方法

徐亮; 曾操; 廖桂生; 李军

doi:10.3724/SP.J.1146.2010.00418

基于特征波束形成的强弱信号波达方向与信源数估计方法

doi: 10.3724/SP.J.1146.2010.00418

基金项目:

国家863计划项目(2009AA12Z303)，教育部长江学者和创新团队支持项目计划(IRT0954)和国家自然科学基金(60971108)资助课题

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出版历程
- 收稿日期: 2010-04-23
- 修回日期: 2010-09-06
- 刊出日期: 2011-02-19

DOA and Source Number Estimation Method for Strong and Weak Signals Based on Eigen Beamforming

摘要

摘要: 该文针对强弱信号并存时信源数和弱信号波达方向难以准确估计的问题，提出了一种基于特征波束形成的强弱信号波达方向与信源数同时估计方法。首先估计空域协方差矩阵，对其特征分解后按特征值从大到小调整特征矢量；然后从第1个特征矢量开始，由提出的估计式得到各特征波束的空间谱；最后，通过计算各空间谱的最大值与旁瓣谱峰平均值的比例判断有无信源，最大谱峰对应的角度即为该信源的波达方向估计。与RELAX和JJM方法相比，所提方法无需迭代步骤，无需强信号波达方向精确的先验知识，具有运算量小和弱信号估计精度高的优点，仿真和实测数据处理结果证明了方法的有效性和优越性。
- 波达方向估计 /
- 信源数估计 /
- 波束形成 /
- 强弱信号
Abstract: For the problem of the source number and Direction Of Arrivals (DOAs) estimation of the weak signals in the presence of the strong signals, a new method based on eigen beamforming for estimating source number and DOAs is proposed. Firstly, the eigenvectors of the spatial covariance matrix is sorted according to the descending order of the eigenvalues. Secondly, the spatial spectrum of each eigen beam is estimated in turn by the proposed equation. Finally, whether the signal source have or not is judged by the ration of the maximum value of the spatial spectrum to the mean value of the side-lobe peaks and the direction of arrival of the signal is obtained by the angle corresponding to the maximum value. Without the precise DOA knowledge and the iterative steps, the proposed method has the merits of the simpler computation and the more accuracy compared with RELAX and JJM. The effectiveness and the superiority are demonstrated by the simulation results and the measured data.
- DOA estimation /
- Source number estimation /
- Beamforming /
- Strong/weak signal

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[1] Jinli C, Hong G, and Weimin S. Angle estimation using ESPRIT without pairing in MIMO radar[J].Electronics Letters.2008, 44(24):1422-1423 [2] Zhang Xiao-fei, Gao Xin, and Xu Da-zhuan. Multi-invariance ESPRIT-based blind DOA estimation for MC-CDMA with an antenna array[J].IEEE Transactions on Vehicular Technology.2009, 58(8):4686-4690 [3] Chung Pei-jung, Viberg M, and Mecklenbrauker C F. Broadband ML estimation under model order uncertainty[C]. Acoustics, Speech and Signal Processing 2009, Taipei, April 19-24, 2009: 2121-2124. [4] Zhang Ying and Ng B P. MUSIC-like DOA estimation without estimating the number of sources[J].IEEE Transactions on Signal Processing.2010, 58(3):1668-1676 [5] Li Jian and Stoica P. Efficient mixed-spectrum estimation with applications to target feature extraction[J].IEEE Transactions on Signal Processing.1996, 44(2):281-295 [6] Li Jian. Angle and waveform estimation via RELAX[J].IEEE Transactions on Aerospace and Electronic Systems.1997, 33(3):1077-1087 [7] 陈辉, 苏海军. 强干扰/信号背景下的DOA估计新方法[J].电子学报.2006, 4(3):530-534 Chen Hui and Su Hai-jun. A new approach to estimate DOA in presence of strong jamming/signal suppression[J]. Acta Electronical Sinica, 2006, 4(3): 530-534. [8] 张静, 廖桂生. 强信号背景下基于噪声子空间扩充的弱信号DOA估计方法[J]. 系统工程与电子技术, 2009, 31(6): 1279- 1283. Zhang Jing and Liao Gui-sheng. DOA estimation based on extended noise subspace in the presence of strong signals[J]. Systems Engineering and Electronics, 2009, 31(6): 1279-1283. [9] 张静. 阵列天线子阵划分设计和测向技术研究[D]. [硕士论文], 西安电子科技大学, 2009. [10] Zhang Jing. Study on subarray Clustering and DOA Estimation[D]. [MA. dissertation], Xidian university, 2009. [11] Wax M and Kailath T. Detection of signals by information theoretic criteria[J].IEEE Transactions on Acoustic, Speech and Signal Processing.1985, 33(2):387-392 [12] 柴立功, 罗景青. 一种强干扰条件下微弱信号DOA估计的新方法[J].电子与信息学报.2005, 27(10):1517-1520浏览 Chai Li-gong, Luo Jing-qing. A novel algorithm for weak signals DOA estimation under intensive interferenees[J].Journal of Electronics Information Technology.2005, 27(10):1517-1520

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