Parameter estimation for coherently distributed noncircular sources under impulsive noise environments

The signal source generates angular expansion in space due to scattering, reflection and other phenomena in a complex environment, which requires a distributed signal model for processing. This paper extends the method of joint angular estimation for coherently distributed (CD) sources consisting of noncircular signals to the impulsive noise scenario. In an actual wireless passive positioning environment, impulsive noise is very common. However, most algorithms only consider Gaussian noise environments and are not suitable for angle estimation in impulsive noise scenarios. This paper proposes the generalized complex correntropy (GCC) and shows that it can eliminate the effects of outliers in an impulsive noise environment. This is because the complex correntropy is an effective tool to analyze higher-order statistical moments in the impulsive noise environment. In order to improve the accuracy of the estimation, we construct a GCC matrix based on extended array output and apply the subspace techniques to extract the angle information of the CD noncircular sources. The simulation results show that the estimation performance of the proposed algorithms is better than the traditional algorithm applied to the noncircular CD sources.

[1]  Tao Liu,et al.  Cyclic Correntropy: Foundations and Theories , 2018, IEEE Access.

[2]  Xiaotong Zhang,et al.  Wideband DOA estimation based on focusing signal subspace , 2019, Signal Image Video Process..

[3]  Guangjie Han,et al.  DOA Estimation for Coherently Distributed Sources Considering Circular and Noncircular Signals in Massive MIMO Systems , 2017, IEEE Systems Journal.

[4]  Weifeng Liu,et al.  Correntropy: Properties and Applications in Non-Gaussian Signal Processing , 2007, IEEE Transactions on Signal Processing.

[5]  Qiu Tian-shuang,et al.  A novel covariation based noncircular sources direction finding method under impulsive noise environments , 2014 .

[6]  Bernard C. Picinbono,et al.  On circularity , 1994, IEEE Trans. Signal Process..

[7]  Guangjun Li,et al.  2D DOA Estimation of Coherently Distributed Noncircular Sources , 2014, Wirel. Pers. Commun..

[8]  Tülay Adali,et al.  Complex-Valued Signal Processing: The Proper Way to Deal With Impropriety , 2011, IEEE Transactions on Signal Processing.

[9]  Jinfeng Zhang,et al.  A novel correntropy based DOA estimation algorithm in impulsive noise environments , 2014, Signal Process..

[10]  Shahrokh Valaee,et al.  Parametric localization of distributed sources , 1995, IEEE Trans. Signal Process..

[11]  Björn E. Ottersten,et al.  The effects of local scattering on direction of arrival estimation with MUSIC , 1999, IEEE Trans. Signal Process..

[12]  José Carlos Príncipe,et al.  Correntropy as a novel measure for nonlinearity tests , 2009, Signal Process..

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

[14]  Rong Li,et al.  A Simplified DOA Estimation Method Based on Correntropy in the Presence of Impulsive Noise , 2018, IEEE Access.

[15]  Sylvie Marcos,et al.  Robust subspace-based algorithms for joint angle/Doppler estimation in non-Gaussian clutter , 2007, Signal Process..

[16]  C. L. Nikias,et al.  Signal processing with fractional lower order moments: stable processes and their applications , 1993, Proc. IEEE.

[17]  José Carlos Príncipe,et al.  Complex Correntropy: Probabilistic Interpretation and Application to Complex-Valued Data , 2017, IEEE Signal Processing Letters.