Fenggang Yan

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This paper presents a new computationally efficient method for direction-of-arrival (DOA) estimation with arbitrary arrays. The total angular field-of-view is first divided into several small sectors and the original noise subspace exploited by the multiple signal classification (MUSIC) algorithm is mapped from one sector to the other sectors by a Hadarmard(More)
Most of the existing methods for direction-of-arrival (DOA) estimation are based on numerical characteristics behind the entire array output covariance matrix (AOCM). Since the AOCM is generally a complex matrix, those approaches require tremendous complex computations accordingly. This paper addresses the problem of DOA estimation with real-valued(More)
In this paper, a new method for fast direction-of-arrival (DOA) estimation with no dependance on array configurations is proposed, which is referred to as the symmetrical multiple signal classification (SMUSIC). Unlike the standard MUSIC, the S-MUSIC spatial spectrum is constructed by the intersection of the noise subspace and the conjugate noise subspace,(More)
A new technique is proposed to reduce the computational complexity of the multiple signal classification (MUSIC) algorithm for direction-of-arrival (DOA) estimate using a uniform linear array (ULA). The steering vector of the ULA is reconstructed as the Kronecker product of two other steering vectors, and a new cost function with spatial aliasing at hand is(More)
An extremely low profile (0.022&#x03BB;<sub>c</sub>, &#x03BB;<sub>c</sub> is the wavelength of the central frequency) microstrip antenna with two H-shaped serial coupling slots for bandwidth enhancement is proposed in this paper. Compared with one coupling slot, a broader impedance bandwidth is available by employing two serial slots. Two coupling slots(More)
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