Improved Coarray Interpolation Algorithms with Additional Orthogonal Constraint for Cyclostationary Signals
نویسندگان
چکیده
منابع مشابه
Improved Coarray Interpolation Algorithms with Additional Orthogonal Constraint for Cyclostationary Signals
Many modulated signals exhibit a cyclostationarity property, which can be exploited in direction-of-arrival (DOA) estimation to effectively eliminate interference and noise. In this paper, our aim is to integrate the cyclostationarity with the spatial domain and enable the algorithm to estimate more sources than sensors. However, DOA estimation with a sparse array is performed in the coarray do...
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Two signal selective Unitary Cyclic DOA algorithms are presented by introducing a new forward-backward smoothed covariance matrix. Compared with conventional Cyclic DOA algorithms, the suggested approaches have better performance in the presence of multipath propagation. In addition, these approaches not only allow to select desired signals and to ignore interferences by exploiting the cyclosta...
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Sparse arrays have gained considerable attention in recent years because they can resolve more sources than the number of sensors. The coprime array can resolve O ( M N ) sources with only O ( M + N ) sensors, and is a popular sparse array structure due to its closed-form expressions for array configuration and the reduction of the mutual coupling effect. However, because of the existence of ho...
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Co-prime arrays can estimate the directions of arrival (DOAs) of O ( M N ) sources with O ( M + N ) sensors, and are convenient to analyze due to their closed-form expression for the locations of virtual lags. However, the number of degrees of freedom is limited due to the existence of holes in difference coarrays if subspace-based algorithms such as the spatial smoothing multiple signal classi...
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ژورنال
عنوان ژورنال: Sensors
سال: 2018
ISSN: 1424-8220
DOI: 10.3390/s18010219