Simultaneous estimation of source number and directions-of-arrival via blind beamforming
نویسندگان
چکیده
منابع مشابه
Source Number Estimation and Clustering for Underdetermined Blind Source Separation
Much research has been undertaken in the field of blind source separation (BSS) and a large number of algorithms have been developed. However, most of them assume that the number of sources is known. In this paper we present an algorithm to estimate the number of sources in the (over-)determined and underdetermined case. We call this algorithm NOSET (Number of Sources Estimation Technique). We ...
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In many practical signal processing problems, the objective is to estimate from noisy measurements a set of constant parameters upon which the underlying true signals depend. For example, estimating the directions-of-arrival (DOAs) of impinging wavefronts given the set of signals received at an antenna array is important in fields such as radar, sonar, electronic surveillance and seismic explor...
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This paper presents an alternative estimation procedure of the generalized steering matrix of the sources in EVESPA, suitable for both beamforming and direction of arrival estimation. It is shown how the estimation of such a matrix can be restricted to that of its corresponding coefficient matrix in the signal subspace, providing both performance enhancement and computational complexity reducti...
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Direction-of-Arrival (DOA) estimation plays a vital role in many applications. Beamforming is the most prominent technique to estimate DOA. In this survey, a study of various beamforming techniques and algorithms to estimate the direction of arrival of a signal is made. An assessment on the background robust algorithms using Nyquist sampling rate and its Compressive sensing alternative is done....
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In this paper, we address the problem of complex blind source separation (BSS), in particular, separation of nonstationary complex signals. It is known that, under certain conditions, complex BSS can be solved effectively by the so-called Strong Uncorrelating Transform (SUT), which simultaneously diagonalizes one Hermitian positive definite and one complex symmetric matrix. Our current work gen...
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ژورنال
عنوان ژورنال: Acoustical Science and Technology
سال: 2004
ISSN: 1346-3969,1347-5177
DOI: 10.1250/ast.25.24