采用相干积累矢量平滑实现小样本信号解相干

doi:10.3969/j.issn.1001-2400.2011.06.018

Abstract

Abstract:

When estimating the DOA of narrowband signals, if the snapshot number is small, decorrelation operation is necessary because for all the snapshots, their amplitude and phase are unchanged, which makes signals from different directions coherent. For this kind of signals, existing decorrelation algorithms always need too much computation or are sensitive to SNR. This paper proposes taking coherent accumulation operation for array outputs, and the resulting vector is used to construct a matrix by forward and backward smoothing. By taking SVD of this matrix, the signal and noise subspace is obtained then. Simulation results indicate that this method is of excellent noise-resistance performance with great computational complexity reduction in contract to existing decorrelation algorithms. It has the same performance as ESVD algorithms based on eigen-decomposition, when the SNR is higher than -14dB.

Key words: narrowband signal, DOA estimation, decorrelation, coherent accumulation

CLC Number:

TN958

LI Tao;LI Guolin;XU Heng;LIAO Huirong. Small sample signals' decorrelation using the coherent accumulation vector' spatial smoothing[J].J4, 2011, 38(6): 113-116+139.

References

［1］ Ray K P, Kulkarni K, Kasyap R B. DOA Estimation in a Multipath Environment Using Covariance Differencing and Iterative forward and Backward Spatial Smoothing［C］//International Conference on Recent Advances in Microwave Theory and Applications. Jaipur: Microvave, 2008: 794-796.
［2］ Dmochowski J, Benesty J, Affes S. Direction of Arrival Estimation Using Eigenanalysis of the Parameterized Spatial Correlation Matrix［C］//IEEE International Conference on Acoustics, Speech, and Signal Processing 2007. Honolulu: IEEE, 2007: 1-4.
［3］ Ye Zhongfu, Xiang Li, Xu Xu. DOA Estimation with Circular Array Via Spatial Averaging Algorithm［J］. IEEE Antennas and Wireless Propagation Letters, 2007(6): 74-76.
［4］ Xu Dihua, Chen Jianwen, Wu You. A Novel Subspace Coherent Signal Processing Algorithm for High-resolution DOA Estimation［C］//International Symposium on Intelligent Signal Processing and Communications. Yonago: IEEE, 2006: 653-656.
［5］ Bai Jun, Shen Xiaohong, Wang Haiyan, et al. Improved Toeplitz Algorithms to Coherent Sources DOA Estimation［C］//2010 International Conference on Measuring Technology and Mechatronics Automation. Changsha: IEEE, 2010: 442-445.
［6］ Hu Xiaoqin, Chen Jianwen, Chen Hui. Estimation DOAs of the Coherent Sources Based on Toeplitz Decorrelation［C］//2008 Congress on Image and Signal Processing. Sanya: CISP, 2008: 54-58.
［7］ Han Fangming, Zhang Xianda. An ESPRIT-like Algorithm for Coherent DOA Estimation［J］. IEEE Antennas and Wireless Propagation Letters, 2005(4): 443-446.
［8］ Liu Liguo, Gai Yibing, Wang Haisong. An Improved ESPRIT-like Algorithm for Coherent Signal and Its Application for 2-D DOA Estimation［C］//7th International Symposium on Antennas, Propagation ＆ EM Theory. Singapore: ISAPE, 2006: 1-4.
［9］谢锘, 张润生, 葛建华, 等. 基于正交投影的宽带相干信源空间谱测向算法［J］. 西安电子科技大学学报, 2010, 37(3): 576-580.
Xie Nuo, Zhang Runsheng, Ge Jianhua, et al. Orthogonal Projection-based Spatial Spectrum Algorithm for Finding the Direction of the Wideband Coherent Source［J］. Journal of Xidian University, 2010, 37(3): 576-580.
［10］谢鑫, 李国林, 李涛. 窄带信号小样本谱估计算法［J］. 海军航空工程学院学报, 2009, 24(6): 604-608.
Xie Xin, Li Goulin, Li Tao. Spectrum Estimation of Narrow Band Signals Using a Small Sample［J］. Journal of Naval Aeronautical and Astronautical University, 2009, 24(6): 604-608.

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Small sample signals' decorrelation using the coherent accumulation vector' spatial smoothing

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