2022
DOI: 10.3390/s22249833
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Coherent Signal DOA Estimation for MIMO Radar under Composite Background of Strong Interference and Non-Uniform Noise

Abstract: To address the problems of low accuracy and low robustness of the conventional algorithm in estimating the direction of arrival (DOA) of coherent signals against a composite background of strong interference and non-uniform noise, in this paper, a coherent signal DOA estimation algorithm based on fixed projection blocking is proposed in conjunction with a multi-input multi-output (MIMO) radar. The covariance matrix of the received signal is first decomposed by eigenvalues, and a fixed projection matrix orthogo… Show more

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Cited by 2 publications
(3 citation statements)
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“…; t e m p : i n t r a l i n k -; e 0 1 0 ; 1 1 7 ; 3 5 3 R ðiÞ X 0 X ¼ Aðθ; φ; γ; ηÞΦ ðiþ1Þ ðφÞR S ðΦ ðiÞ ðφÞÞ H A H ðθ; φ; γ; ηÞ þ σ 2 I; (10) where 0 ≤ i ≤ ðP − 1Þ and R S ¼ SðtÞS H ðtÞ in Eqs. ( 9) and (10). Since the incoming signal is coherent, R S is a singular matrix.…”
Section: Signal Modelmentioning
confidence: 99%
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“…; t e m p : i n t r a l i n k -; e 0 1 0 ; 1 1 7 ; 3 5 3 R ðiÞ X 0 X ¼ Aðθ; φ; γ; ηÞΦ ðiþ1Þ ðφÞR S ðΦ ðiÞ ðφÞÞ H A H ðθ; φ; γ; ηÞ þ σ 2 I; (10) where 0 ≤ i ≤ ðP − 1Þ and R S ¼ SðtÞS H ðtÞ in Eqs. ( 9) and (10). Since the incoming signal is coherent, R S is a singular matrix.…”
Section: Signal Modelmentioning
confidence: 99%
“…Step 2 Calculate the auto-covariance matrix R ðiÞ XX of each translation subarray and the crosscovariance matrix R ðiÞ X 0 X between adjacent subarrays by Eqs. ( 9) and (10).…”
Section: Polarization Estimationmentioning
confidence: 99%
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