Subspace-based high-resolution direction of arrival (DOA) estimation significantly deteriorates under array manifold perturbation and rank deficiency of the covariance matrix due to mutual coupling and multipath propagation, respectively. In this correspondence, the unknown mutual coupling can be circumvented by the proposed method without any passive or active calibration process, and the DOA of the coherent signals can be accurately estimated accordingly. With a newly constructed matrix, the deficient rank can be restored, and the effective array aperture can be extended compared with conventional spatial smoothing. The proposed method achieves a good robustness and DOA estimation accuracy with unknown mutual coupling. The simulation resu...
Array signal processing is currently widely used in many fields. It has been a hot research area for...
This paper investigates a subarray based algorithm for direction of arrival (DOA) estimation of wide...
Based on weighted block sparse recovery, a high resolution direction-of-arrival (DOA) estimation alg...
Subspace-based high-resolution direction of arrival (DOA) estimation significantly deteriorates unde...
This paper proposes two subspace-based methods for direction-of-arrival (DOA) estimation of coherent...
The noncircularity of uncorrelated signals can improve the performance of direction of arrival (DOA)...
In this paper, a novel algorithm is presented for direction of arrival (DOA) estimation and array se...
AbstractIn this paper, a novel algorithm is presented for direction of arrival (DOA) estimation and ...
This paper proposes an extended method for direction-of-arrival (DOA) estimation with unknown mutual...
In this paper, an algorithm of direction finding is proposed in the presence of unknown mutual coupl...
A class of subspace-based methods for direction-of-arrival (DOA) estimation and tracking in the case...
A new direction of arrival (DOA) estimation method for the uniform linear array is proposed for corr...
Based on weighted block sparse recovery, a high resolution direction-of-arrival (DOA) estimation alg...
This article investigates the accuracy of direction-of-arrival (DOA) estimations using compact anten...
ABSTRACT We propose a novel subspace-based direction-of-arrival (DOA) estimation method and an assoc...
Array signal processing is currently widely used in many fields. It has been a hot research area for...
This paper investigates a subarray based algorithm for direction of arrival (DOA) estimation of wide...
Based on weighted block sparse recovery, a high resolution direction-of-arrival (DOA) estimation alg...
Subspace-based high-resolution direction of arrival (DOA) estimation significantly deteriorates unde...
This paper proposes two subspace-based methods for direction-of-arrival (DOA) estimation of coherent...
The noncircularity of uncorrelated signals can improve the performance of direction of arrival (DOA)...
In this paper, a novel algorithm is presented for direction of arrival (DOA) estimation and array se...
AbstractIn this paper, a novel algorithm is presented for direction of arrival (DOA) estimation and ...
This paper proposes an extended method for direction-of-arrival (DOA) estimation with unknown mutual...
In this paper, an algorithm of direction finding is proposed in the presence of unknown mutual coupl...
A class of subspace-based methods for direction-of-arrival (DOA) estimation and tracking in the case...
A new direction of arrival (DOA) estimation method for the uniform linear array is proposed for corr...
Based on weighted block sparse recovery, a high resolution direction-of-arrival (DOA) estimation alg...
This article investigates the accuracy of direction-of-arrival (DOA) estimations using compact anten...
ABSTRACT We propose a novel subspace-based direction-of-arrival (DOA) estimation method and an assoc...
Array signal processing is currently widely used in many fields. It has been a hot research area for...
This paper investigates a subarray based algorithm for direction of arrival (DOA) estimation of wide...
Based on weighted block sparse recovery, a high resolution direction-of-arrival (DOA) estimation alg...