Polarization-Space-Time Adaptive Processing for Clutter Suppression in Airborne Radar Systems

Di-jun, WU; Xu, Zhiwei; Zhang, Liang; Xiong, Ziyuan

doi:10.1109/icdma.2011.211

Cited by 3 publications

(4 citation statements)

References 4 publications

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“…It is shown in [9–11] that the some polarisation parameters can decide the polarisation coefficient, which will affect the P‐STAP performance. In order to analyse the relationship between the polarisation parameter and the P‐STAP performance, some typical polarisation parameters are given below.…”

Section: Clutter Suppression Principle Of Polarisation‐space‐time Amentioning

confidence: 99%

“…In order to analyse the relationship between the polarisation parameter and the P‐STAP performance, some typical polarisation parameters are given below. (1) The polarisation degree can denote the clutter distribution on principal eigenvector and secondary eigenvector, which is given as [9]

ρ_{normald} = \sqrt{1 - \frac{4 p (1 - {(||, τ)}^{2})}{{(1 + p)}^{2}}}

(2) The polarisation distance can denote the polarisation difference on Poincare sphere, which is given as ρ d [11]

s_{normald} = (||, η - \overset{false¯}{η})

…”

Section: Clutter Suppression Principle Of Polarisation‐space‐time Amentioning

confidence: 99%

“…(1) The polarisation degree can denote the clutter distribution on principal eigenvector and secondary eigenvector, which is given as [9]

ρ_{normald} = \sqrt{1 - \frac{4 p (1 - {(||, τ)}^{2})}{{(1 + p)}^{2}}}

…”

Section: Clutter Suppression Principle Of Polarisation‐space‐time Amentioning

confidence: 99%

“…However, the factors that affects on the performance of clutter suppression are not clearly investigated. Then the polarisation‐space‐time adaptive processing for clutter suppression in airborne radar systems are given in [9–11].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Polarisation‐space‐time adaptive processing for heterogeneous clutter suppression of airborne‐phased array radar

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Yang

2019

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Section: Clutter Suppression Principle Of Polarisation‐space‐time Amentioning

confidence: 99%

ρ_{normald} = \sqrt{1 - \frac{4 p (1 - {(||, τ)}^{2})}{{(1 + p)}^{2}}}

(2) The polarisation distance can denote the polarisation difference on Poincare sphere, which is given as ρ d [11]

s_{normald} = (||, η - \overset{false¯}{η})

…”

Section: Clutter Suppression Principle Of Polarisation‐space‐time Amentioning

confidence: 99%

“…(1) The polarisation degree can denote the clutter distribution on principal eigenvector and secondary eigenvector, which is given as [9]

ρ_{normald} = \sqrt{1 - \frac{4 p (1 - {(||, τ)}^{2})}{{(1 + p)}^{2}}}

…”

Section: Clutter Suppression Principle Of Polarisation‐space‐time Amentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Polarisation‐space‐time adaptive processing for heterogeneous clutter suppression of airborne‐phased array radar

Sun

Yang

2019

J. eng.

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Polarization-space-time joint domain processing for clutter suppression in subspace leakage environments

Di-jun

Xiong

et al. 2011

Proceedings of 2011 IEEE CIE International Conference on Radar

View full text Add to dashboard Cite

Polarimetric STAP via Clutter Spectrum Reconstruction

Zhao

Huang

Liu

et al. 2019

Proceedings of the 2019 International Symposium on Signal Processing Systems

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Polarization-Space-Time Adaptive Processing for Clutter Suppression in Airborne Radar Systems

Cited by 3 publications

References 4 publications

Polarisation‐space‐time adaptive processing for heterogeneous clutter suppression of airborne‐phased array radar

Polarisation‐space‐time adaptive processing for heterogeneous clutter suppression of airborne‐phased array radar

Polarization-space-time joint domain processing for clutter suppression in subspace leakage environments

Polarimetric STAP via Clutter Spectrum Reconstruction

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