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In this paper, a new robust beamforming approach which is capable of accurately controlling the main beam response is proposed. In this method, steering vector uncertainties are taken into account in the beamformer design problem with array magnitude response constraints. This allows us to control the main beam as prescribed. However, the resultant non-convex problem has a different formulation from...
In this paper, a robust widely linear adaptive beamformer is proposed for noncircular signals, which is able to efficiently reconstruct the interference-plus-noise covariance matrix (IN-CM) and estimate the extended steering vector. Estimation of the covariance matrix is based on the minimum variance distortionless response (MVDR) spatial spectrum integrated over a region which excludes the direction...
This paper investigates the problem of direction-of-arrival (DOA) estimation under the coexistence of nonuniform noise and mutual coupling. Though either the issue of nonuniform noise or mutual coupling has been widely discussed in the literature, the problem of DOA estimation in the specific scenario where these two issues coexist still remain open. As far as we know, the existing algorithms for...
Interpolation array approach based on Taylor series fitting for arbitrary geometry array is developed in this paper. As the steering vector is a function of direction-of-arrival (DOA), Taylor series fitting for the steering vector is conducted within an angle range, and the steering matrix is decomposed into a coefficient matrix multiplying by a Vandermonde structure vector bearing the DOA information...
For noncircular signals, optimal widely linear (WL) minimum variance distortionless response (MVDR) beamformer has a powerful performance by exploiting the noncircularity of the received signals. Though, the noncircularity rate can be estimated by the steering vector (SV) of the signal of interest (SOI), the performance degrades as there exist errors in the SOI's SV. This paper introduces a new robust...
Based on joint iterative optimization, a robust widely linear (WL) reduced-rank minimum variance distortion less response (MVDR) beam forming algorithm is proposed for noncircular signals. To handle the issue of the mismatch between the presumed array steering vector and actual array steering vector, a diagonal loading technique is devised. As the proposed beam former takes advantage of the noncircular...
This paper introduces an eigenspace-based widely linear (WL) beam former for noncircular signals. The conventional minimum variance distortion less response (MVDR) beam former becomes sub optimal when the signals are noncircular, and the optimal WL MVDR beam former has been proposed to gain the optimal outputs when the number of training samples is infinite. However, its performance may degrate for...
A new computationally simple MDL approach is addressed in this paper. Unlike the eigenvalue-based MDL methods, the proposed method suggests to use the minimum mean square errors (MMSEs) of the multi-stage Wiener filter (MSWF) to calculate the description length required to encode the observed data. As a result, the proposed method is more robust to the no uniform noise than the eigenvalue-based MDL...
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