Direction of arrival estimation for uncorrelated and coherent signals with uniform linear array

A novel direction of arrival (DOA) estimation method is proposed with uniform linear array when uncorrelated and coherent signals coexist. The DOAs of uncorrelated signals are first estimated using a new method of modified total least squares estimation of signal parameters via rotation invariance techniques. Afterwards, the contributions of uncorrelated signals are eliminated and a new matrix is constructed based on the spatial difference matrix. Then, the coherent signals can be resolved by performing the forward spatial smoothing scheme on the new matrix. The proposed method can resolve more signals than the array elements with good performance. Simulation results demonstrate the effectiveness and efficiency of the proposed method.

[1]  Jerry M. Mendel,et al.  Applications of cumulants to array processing. IV. Direction finding in coherent signals case , 1997, IEEE Trans. Signal Process..

[2]  Y. Zhang,et al.  A Deflation Approach to Direction of Arrival Estimation for Symmetric Uniform Linear Array , 2006, IEEE Antennas and Wireless Propagation Letters.

[3]  Thomas Kailath,et al.  Adaptive beamforming for coherent signals and interference , 1985, IEEE Trans. Acoust. Speech Signal Process..

[4]  Thomas Kailath,et al.  ESPRIT-estimation of signal parameters via rotational invariance techniques , 1989, IEEE Trans. Acoust. Speech Signal Process..

[5]  R. Rajagopal,et al.  Generalised algorithm for DOA estimation in a passive sonar , 1993 .

[6]  John H. Cozzens,et al.  Source enumeration in a correlated signal environment , 1994, IEEE Trans. Signal Process..

[7]  Z. Ye,et al.  DOA Estimation by Exploiting the Symmetric Configuration of Uniform Linear Array , 2007, IEEE Transactions on Antennas and Propagation.

[8]  Dimitris A. Pados,et al.  Subspace Direction Finding With an Auxiliary-Vector Basis , 2007, IEEE Transactions on Signal Processing.

[9]  S. Unnikrishna Pillai,et al.  Forward/backward spatial smoothing techniques for coherent signal identification , 1989, IEEE Trans. Acoust. Speech Signal Process..

[10]  Yang-Ho Choi.  Subspace-based coherent source localisation with forward/backward covariance matrices , 2002 .

[11]  Benjamin Friedlander,et al.  DOA estimation in multipath: an approach using fourth-order cumulants , 1997, IEEE Trans. Signal Process..

[12]  E. M. Al-Ardi,et al.  Computationally efficient high-resolution DOA estimation in multipath environment , 2004 .

[13]  Björn E. Ottersten,et al.  Sensor array processing based on subspace fitting , 1991, IEEE Trans. Signal Process..

[14]  Thomas Kailath,et al.  On spatial smoothing for direction-of-arrival estimation of coherent signals , 1985, IEEE Trans. Acoust. Speech Signal Process..

[15]  Jinhwan Koh,et al.  Utilization of a unitary transform for efficient computation in the matrix pencil method to find the direction of arrival , 2006, IEEE Transactions on Antennas and Propagation.

[16]  Ying Han,et al.  Spatial difference smoothing for DOA estimation of coherent signals , 2005, IEEE Signal Process. Lett..

[17]  Thomas Kailath,et al.  Detection of signals by information theoretic criteria , 1985, IEEE Trans. Acoust. Speech Signal Process..

[18]  Petre Stoica,et al.  Maximum likelihood methods for direction-of-arrival estimation , 1990, IEEE Trans. Acoust. Speech Signal Process..

[19]  Louis L. Scharf,et al.  A new subspace identification algorithm for high-resolution DOA estimation , 2002 .

[20]  R. O. Schmidt,et al.  Multiple emitter location and signal Parameter estimation , 1986 .

[21]  Xianda Zhang,et al.  An ESPRIT-like algorithm for coherent DOA estimation , 2005 .