Low-altitude Wind Shear Wind Speed Estimation Method Based on GAMP-STAP in Complex Terrain Environment

LI Hai; XIE Ruijie; XIE Lingli; MENG Fanwang

doi:10.11999/JEIT211500

Volume 45 Issue 2

Feb. 2023

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Article Navigation > Journal of Electronics & Information Technology > 2023 > 45(2): 576-584

LI Hai, XIE Ruijie, XIE Lingli, MENG Fanwang. Low-altitude Wind Shear Wind Speed Estimation Method Based on GAMP-STAP in Complex Terrain Environment[J]. Journal of Electronics & Information Technology, 2023, 45(2): 576-584. doi: 10.11999/JEIT211500

Citation:

LI Hai, XIE Ruijie, XIE Lingli, MENG Fanwang. Low-altitude Wind Shear Wind Speed Estimation Method Based on GAMP-STAP in Complex Terrain Environment[J]. Journal of Electronics & Information Technology, 2023, 45(2): 576-584. doi: 10.11999/JEIT211500

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Low-altitude Wind Shear Wind Speed Estimation Method Based on GAMP-STAP in Complex Terrain Environment

doi: 10.11999/JEIT211500

1.
Tianjin Key Laboratory for Advanced Signal Processing, Civil Aviation University of China, Tianjin 300300, China
2.
Aviation Industry Corporation of China Leihua Electronic Technology Research Institute, Wuxi 214063, China

Funds: The Civil Aircraft Project (MJ-2018-S-28), The Key Projects of Tianjin Natural Fund(20JCZDJC00490), The Aviation Foundation of China (20182067008), The Basic Scientific Research Project of Universities of The CPC Central Committee (3122015B002)

Received Date: 2021-12-13
Accepted Date: 2022-07-14
Rev Recd Date: 2022-06-23

Available Online: 2022-07-19

Publish Date: 2023-02-07

Abstract

Abstract

When airborne weather radar is used to detect low-altitude wind shear under complex terrain environment, ground clutter presents non-uniform characteristics and it is difficult to obtain enough Independent Identically Distributed (IID) samples, which affects the clutter suppression effect of Space-Time Adaptive Processing and makes the estimation of wind shear wind speed inaccurate. Based on the sparse characteristics of clutter signals, a Generalized Approximate Message Passing (GAMP) Space-Time Adaptive Processing (STAP) method is proposed in this paper. GAMP-STAP achieves accurate estimation of wind speed in complex terrain environment with only a small number of samples. Firstly, a sparse dictionary is constructed based on the prior information of the clutter ridge, then GAMP algorithm is used to estimate the clutter amplitude and recover the clutter power spectrum under the Bayesian framework, and then the clutter covariance matrix is calculated. Finally, STAP filter is constructed to achieve clutter suppression and wind shear wind speed estimation. Simulation results show the effectiveness of the proposed method.
- Airborne weather radar,
- Wind speed estimation,
- Non-uniform clutter,
- Generalized Approximate Message Passing (GAMP)

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References(25)

References

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