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

Xu  Liang; Zeng  Cao; Liao Gui-Sheng; Li  Jun

doi:10.3724/SP.J.1146.2010.00418

Volume 33 Issue 2

Mar. 2011

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Article Navigation > Journal of Electronics & Information Technology > 2011 > 33(2): 321-325

Xu Liang, Zeng Cao, Liao Gui-Sheng, Li Jun. DOA and Source Number Estimation Method for Strong and Weak Signals Based on Eigen Beamforming[J]. Journal of Electronics & Information Technology, 2011, 33(2): 321-325. doi: 10.3724/SP.J.1146.2010.00418

Citation:

Xu Liang, Zeng Cao, Liao Gui-Sheng, Li Jun. DOA and Source Number Estimation Method for Strong and Weak Signals Based on Eigen Beamforming[J]. Journal of Electronics & Information Technology, 2011, 33(2): 321-325. doi: 10.3724/SP.J.1146.2010.00418

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

doi: 10.3724/SP.J.1146.2010.00418

Received Date: 2010-04-23
Rev Recd Date: 2010-09-06
Publish Date: 2011-02-19

Abstract

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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References

[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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