An Improved Algorithm of Spatial Difference MUSIC for Direction ofArrival Estimation in a Smart Antenna

The estimation of direction of arrival (DOA) of a smart antenna is not able to perform high resolution in a mixed noise field with high correlation. In this paper, a modified multiple signal classification (MUSIC) algorithm based on spatial difference is proposed for improving the resolution of DoA estimation. The algorithm can eliminate the effect of mixed noise through computing the difference of the output signal covariance matrix and resolving the uncorrelated and coherent signal respectively. In order to obtain the orthogonal subspaces of the signal and noise, the Toeplitz decom- position and singular value decomposition (SVD) algorithm are applied to reconstruct the matrix. Accordingly, the MU- SIC algorithm is adopted to estimate the DOA efficiently. In our research, several contrastive simulations corresponding to DOA estimation between the traditional MUSIC algorithm and the proposed method are implemented and analyzed. The results demonstrate the feasibility and high efficiency of our proposed algorithm.

[1]  Raed M. Shubair,et al.  A Setup for the Evaluation of MUSIC and LMS Algorithms for a Smart Antenna System , 2007, J. Commun..

[2]  Martin Haardt,et al.  Single Snapshot Spatial Smoothing With Improved Effective Array Aperture , 2009, IEEE Signal Processing Letters.

[3]  Iickho Song,et al.  DOA Estimation of Angle-Perturbed Sources for Wireless Mobile Communications , 2000 .

[4]  F. Taga,et al.  Smart MUSIC algorithm for DOA estimation , 1997 .

[5]  Guru Nanak.  Eigen Structure Based Direction of Arrival Estimation Algorithms for Smart Antenna Systems , 2009 .

[6]  V. K. Kokate,et al.  Performance Analysis of MUSIC and ESPRIT DOA Estimation Algorithms for Adaptive Array Smart Antenna in Mobile Communication , 2010, 2010 Second International Conference on Computer and Network Technology.

[7]  Jingmin Xin,et al.  Linear prediction approach to direction estimation of cyclostationary signals in multipath environment , 2001, IEEE Trans. Signal Process..

[8]  Zhang Yongshun,et al.  Novel algorithm on DOA estimation for correlated sources under complex symmetric Toeplitz noise , 2008 .

[9]  Jingmin Xin,et al.  Linear Prediction Approach to Direction Estimation of Cyclostationary Signals in Multipath Environment , 2000 .

[10]  A. N. Jadhav,et al.  Simulation study on DOA estimation using MUSIC algorithm , 2011 .

[11]  Tianshuang Qiu,et al.  Direction finding in non-Gaussian impulsive noise environments , 2007, Digit. Signal Process..

[12]  A.. Kisliansky,et al.  Direction of Arrival Estimation in the Presence of Noise Coupling in Antenna Arrays , 2007, IEEE Transactions on Antennas and Propagation.

[13]  Savitri Katariya.  A Survey on Smart Antenna System , 2011 .

[14]  Qun Wan,et al.  LOCALIZATION OF NARROW BAND SOURCES IN THE PRESENCE OF MUTUAL COUPLING VIA SPARSE SOLUTION FINDING , 2008 .

[15]  Zheng Bao,et al.  DOA estimation for ULA by spectral Capon rooting method , 2009 .

[16]  Emmanuèle Grosicki,et al.  A weighted linear prediction method for near-field source localization , 2002, IEEE Transactions on Signal Processing.