Nan-Jun Li

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A novel approach is proposed for the efficient estimation of the two-dimensional (2-D) direction-of-arrival (DOA) of signals impinging on two orthogonal uniform linear arrays (ULAs). By partitioning the cross-correlation matrix (CCM) between two ULAs data into a great deal of submatrices and making use of the submatrices and the symmetric subarrays, an(More)
Inspired by the recent work of Tayem and Kwon, who developed a fast algorithm for estimating 2-D DOAs using the propagator method (PM) of the L-shape array (PMLA). Although PMLA is efficient, like all other PM based methods, its performance is slightly inferior to the subspace based methods in terms of estimation accuracy and the number of estimated(More)
This paper proposes an efficient direction-of-arrival (DOA) estimation algorithm for wideband signals from data collected using two sensors. Like the traditional wideband methods, this algorithm first decomposes wideband sources into narrowband bins. At each frequency bin, the cross-correlation between sensors is estimated to construct a Toeplitz matrix,(More)
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