The root-MUSIC algorithm for direction finding with interpolated arrays
Signal Processing
An efficient algorithm for the complex roots problem
Journal of Complexity
Direction finding in partly calibrated sensor arrays composed of multiple subarrays
IEEE Transactions on Signal Processing
Array interpolation and bias reduction
IEEE Transactions on Signal Processing - Part I
Direction-of-arrival estimation using MODE with interpolated arrays
IEEE Transactions on Signal Processing
Array interpolation and DOA MSE reduction
IEEE Transactions on Signal Processing
Two-dimensional wideband interpolated root-MUSIC applied tomeasured seismic data
IEEE Transactions on Signal Processing
DoA Estimation Via Manifold Separation for Arbitrary Array Structures
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Single antenna power measurements based direction finding
IEEE Transactions on Signal Processing
Cross-ambiguity function domain multipath channel parameter estimation
Digital Signal Processing
A search-free DOA estimation algorithm for coprime arrays
Digital Signal Processing
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In this paper, the problem of spectral search-free direction-of-arrival (DOA) estimation in arbitrary nonuniform sensor arrays is addressed. In the first part of the paper, we present a finite-sample performance analysis of the well-known manifold separation (MS) based root-MUSIC technique. Then, we propose a new class of search-free DOA estimation methods applicable to arrays of arbitrary geometry and establish their relationship to the MS approach. Our first technique is referred to as Fourier-domain (FD) root-MUSIC and is based on the fact that the spectral MUSIC function is periodic in angle. It uses the Fourier series to expand this function and reformulate the underlying DOA estimation problem as an equivalent polynomial rooting problem. Our second approach applies the zero-padded inverse Fourier transform to the FD root-MUSIC polynomial to avoid the polynomial rooting step and replace it with it simple line search. Our third technique refines the FD root-MUSIC approach by using weighted least-squares approximation to compute the polynomial coefficients. The proposed techniques are shown to offer substantially improved performance-to-complexity tradeoffs as compared to the MS technique.