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Published in 2019 at "Signal, Image and Video Processing"
DOI: 10.1007/s11760-018-1396-4
Abstract: The traditional wideband direction-of-arrival (DOA) estimation algorithms usually require the preliminary DOA estimations, which determine the accuracy of the final DOA estimations. To remedy the apparent performance degradation, this paper introduces a novel direction-of-arrival (DOA)…
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Keywords:
signal subspace;
focusing signal;
doa;
subspace ... See more keywords
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Published in 2021 at "Inverse Problems"
DOI: 10.1088/1361-6420/ac349b
Abstract: We develop and analyze a quantitative signal subspace imaging method for single-frequency array imaging. This method is an extension to multiple signal classification which uses (i) the noise subspace to determine the location and support…
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Keywords:
signal subspace;
method;
target;
subspace imaging ... See more keywords
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3
Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2023.3259426
Abstract: In a direction-finding process, high-resolution subspace-based algorithms are the most popular ones. It is well-known that their performance of direction of arrival (DOA) estimation mainly depends on the accuracy of the signal subspace. However, the…
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Keywords:
doa estimation;
signal subspace;
correlation matrix;
correlation ... See more keywords
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Published in 2022 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2022.3144121
Abstract: Performance of direction of arrival (DOA) estimation is one of the most important issues in array signal processing. Subspace-based algorithms provide a good compromise between the estimation accuracy and computational complexity. However, these methods are…
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Keywords:
doa estimation;
index;
signal subspace;
estimation ... See more keywords
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Published in 2022 at "IEEE Transactions on Information Theory"
DOI: 10.1109/tit.2022.3153107
Abstract: We present a novel and computationally simple solution to the problem of determining the number of exponentials in a given time-series, which is applicable to both white and colored noise. The solution is based on…
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Keywords:
signal subspace;
subspace matching;
number exponentials;
invariant signal ... See more keywords
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Published in 2021 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2021.3053495
Abstract: We present a novel and computationally simple solution to the problem of detecting the number of signals, which is applicable to both white and colored noise, and to a very small number of samples. The…
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Keywords:
signal subspace;
number signals;
subspace;
subspace matching ... See more keywords