An oblique projection filtering based DOA estimation algorithm without a priori knowledge

Hou, Huijun; Mao, Xingpeng; Hong, Hong; Liu, Aijun

doi:10.1109/radar.2014.7133687

Cited by 2 publications

(3 citation statements)

References 9 publications

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“…Applying (13) and (14) into (10), an estimation of the expected signal ξ t can be obtained from the array measurements in the following way [35,41]:…”

Section: Principle Of Oppidementioning

confidence: 99%

“…Applying (13) and (14) into (10), an estimation of the expected signal

ξ ()(, t)

can be obtained from the array measurements in the following way [35, 41]:

\overset{false^}{bold-italicξ} ()(, t) = {bold-italicv}^{†} ()(, bold-italicζ) {bold-italicE}_{v ()(, ζ) falsefalse| J ()(, ϑ)} y ()(, t) = ξ ()(, t) + \tilde{n} ()(, t)

where

\overset{false^}{bold-italicξ} ()(, t)

is the minimum variance unbiased estimator of the expected signal

ξ ()(, t)

\overset{false~}{n} ()(, t) = {bold-italicv}^{†} ()(, ζ) {bold-italicE}_{v ()(, ζ) falsefalse| J ()(, ϑ)} n ()(, t)

denotes the residual noise after OP filtering.…”

Section: Oppide Algorithm For Doa Estimation Of Hybrid Cp and Pp Simentioning

confidence: 99%

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Oblique projection for direction‐of‐arrival estimation of hybrid completely polarised and partially polarised signals with arbitrary polarimetric array configuration

Hou

Mao

Liu

2017

IET signal process.

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This study deals with the direction-of-arrival (DOA) estimation problem for hybrid completely polarised (CP) and partially polarised (PP) source signals using arbitrary polarimetric antenna arrays. An oblique projection-based polarisation insensitive direction estimation (OPPIDE) algorithm is proposed by exploiting the spatial-sparsity property of the sources. The OP technique is utilised to provide spatial filters, which are insensitive to the state of polarisation of signals, so that the potential source signals in the spatial domain can be separated later. The DOA estimation is finally implemented by identifying the sources' spatially sparse structure with the separated signals. Theoretical analysis indicates that the OPPIDE is applicable to any hybrid CP and PP signals, and is independent of special polarimetric array configurations. The effectiveness and superiority of the proposed OPPIDE are substantiated through making performance comparison with the present counterpart algorithms.

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“…Applying (13) and (14) into (10), an estimation of the expected signal ξ t can be obtained from the array measurements in the following way [35,41]:…”

Section: Principle Of Oppidementioning

confidence: 99%

“…Applying (13) and (14) into (10), an estimation of the expected signal

ξ ()(, t)

can be obtained from the array measurements in the following way [35, 41]:

\overset{false^}{bold-italicξ} ()(, t) = {bold-italicv}^{†} ()(, bold-italicζ) {bold-italicE}_{v ()(, ζ) falsefalse| J ()(, ϑ)} y ()(, t) = ξ ()(, t) + \tilde{n} ()(, t)

where

\overset{false^}{bold-italicξ} ()(, t)

is the minimum variance unbiased estimator of the expected signal

ξ ()(, t)

\overset{false~}{n} ()(, t) = {bold-italicv}^{†} ()(, ζ) {bold-italicE}_{v ()(, ζ) falsefalse| J ()(, ϑ)} n ()(, t)

denotes the residual noise after OP filtering.…”

Section: Oppide Algorithm For Doa Estimation Of Hybrid Cp and Pp Simentioning

confidence: 99%

Oblique projection for direction‐of‐arrival estimation of hybrid completely polarised and partially polarised signals with arbitrary polarimetric array configuration

Hou

Mao

Liu

2017

IET signal process.

View full text Add to dashboard Cite

show abstract

“…However, this type mostly employs numerous iterations at the cost of increased computational complexity. An oblique projection filter can be used to constrain sources from undesired directions without any prior knowledge of strong interference [21]. Multiple singular value decomposition is needed in this method, and this increases the complexity of the algorithm.…”

Section: Introductionmentioning

confidence: 99%

DOA Estimation for Sources with Large Power Differences

Fang

Jin

Liu

et al. 2021

International Journal of Antennas and Propagation

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Sources with large power differences are very common, especially in complex electromagnetic environments. Classical DOA estimation methods suffer from performance degradation in terms of resolution when dealing with sources that have large power differences. In this paper, we propose an improved DOA algorithm to increase the resolution performance in resolving such sources. The proposed method takes advantage of diagonal loading and demonstrates that the invariant property of noise subspace still holds after diagonal loading is performed. We also find that the Cramer–Rao bound of the weak source can be affected by the power of the strong source, and this has not been noted before. The Cramer–Rao bound of the weak source deteriorates as the power of the strong source increases. Numerical results indicate that the improved algorithm increases the probability of resolution while maintaining the estimation accuracy and computational complexity.

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An oblique projection filtering based DOA estimation algorithm without a priori knowledge

Cited by 2 publications

References 9 publications

Oblique projection for direction‐of‐arrival estimation of hybrid completely polarised and partially polarised signals with arbitrary polarimetric array configuration

Oblique projection for direction‐of‐arrival estimation of hybrid completely polarised and partially polarised signals with arbitrary polarimetric array configuration

DOA Estimation for Sources with Large Power Differences

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