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This paper proposes two subspace-based methods for direction-of-arrival (DOA) estimation of coherent signals for uniform linear arrays (ULAs) with unknown mutual coupling. Based on the banded symmetric Toeplitz structure of the mutual coupling matrix (MCM), the conventional spatial smoothing method can be exploited for DOA estimation of coherent signals. We firstly study a new scheme with spatial...
This paper develops a subspace-based method for direction-of-arrival (DOA) estimation of uniform linear array (ULA) in the presence of mutual coupling. As the mutual coupling coefficient between two sensor elements is inversely related to their separation and is negligible when they are separated by a few wavelengths, the mutual coupling matrix (MCM) of a ULA can be well approximated as a banded symmetric...
The conventional projection approximation subspace tracking (PAST) algorithm is based on the recursive least-squares algorithm, and its performance will degrade considerably when the subspace rapidly changes and the additive noise is impulsive. This brief proposes a new robust Kalman filter-based subspace tracking algorithm to overcome these two limitations of the PAST algorithm. It is based on a...
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