2018
DOI: 10.1109/tap.2018.2823732
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Superresolution DoA Estimation With Circular Arrays Using Signal Segregation Algorithm in Conjunction With a Nulls-Synthesis Method

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Cited by 9 publications
(5 citation statements)
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“…In this section, the resolution Δ θ min of the proposed technique is evaluated and compared to the resolution of the super-resolution DOA estimation algorithm for correlated signals introduced in [25]. It is based on the hybrid combination between the array signal segregation using an iterative approach (ASSIA) and the closely-spaced nulls synthesis method (CNSM), and it is denoted as the ASSIA-CNSM algorithm.…”
Section: Angular Resolution Testmentioning
confidence: 99%
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“…In this section, the resolution Δ θ min of the proposed technique is evaluated and compared to the resolution of the super-resolution DOA estimation algorithm for correlated signals introduced in [25]. It is based on the hybrid combination between the array signal segregation using an iterative approach (ASSIA) and the closely-spaced nulls synthesis method (CNSM), and it is denoted as the ASSIA-CNSM algorithm.…”
Section: Angular Resolution Testmentioning
confidence: 99%
“…It is based on the hybrid combination between the array signal segregation using an iterative approach (ASSIA) and the closely-spaced nulls synthesis method (CNSM), and it is denoted as the ASSIA-CNSM algorithm. Consider M = 9 elements ULA with half power beamwidth HPBW = 11.34 • , N = 2 closely angular spaced coherent signals impinging on the array from the directions θ 1 = 10 • and θ 2 = 11 • with angular spacing Δ θ = θ 2 − θ 1 = 1 • , K = 2000 samples, and SNR = 5 dB as in [25]. The simulations revealed that the proposed technique succeeds in detecting the DOAs of the two sources at 10 • and 11.1 • , respectively as shown in Fig.…”
Section: Angular Resolution Testmentioning
confidence: 99%
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