Study on spectrum reconstruction algorithm for high resolution and wide swath space-borne SAR

2012 ◽  
Author(s):  
Yi Jiang ◽  
Xin-wei Wu ◽  
Yi Li ◽  
Bing-bing Zhang
Keyword(s):  
High Resolution ◽  
Reconstruction Algorithm ◽  
Spectrum Reconstruction ◽  
Wide Swath

scholarly journals An Azimuth Signal-Reconstruction Method Based on Two-Step Projection Technology for Spaceborne Azimuth Multi-Channel High-Resolution and Wide-Swath SAR

2021 ◽  
Vol 13 (24) ◽  
pp. 4988
Author(s):  
Ning Li ◽  
Hanqing Zhang ◽  
Jianhui Zhao ◽  
Lin Wu ◽  
Zhengwei Guo
Keyword(s):  
High Resolution ◽  
Signal To Noise Ratio ◽  
Signal Reconstruction ◽  
Simulated Data ◽  
Reconstruction Algorithm ◽  
Reconstruction Method ◽  
Signal Ratio ◽  
Translation Invariant ◽  
Sampled Signal ◽  
Wide Swath

Azimuth non-uniform signal-reconstruction is a critical step for azimuth multi-channel high-resolution wide-swath (HRWS) synthetic aperture radar (SAR) data processing. However, the received non-uniform signal has noise in the actual azimuth multi-channel SAR (MCSAR) operation, which leads to the serious reduction in the signal-to-noise ratio (SNR) of the results processed by a traditional reconstruction algorithm. Aiming to address the problem of reducing the SNR of the traditional reconstruction algorithm in the reconstruction of non-uniform signal with noise, a novel signal-reconstruction algorithm based on two-step projection technology (TSPT) for the MCSAR system is proposed in this paper. The key part of the TSPT algorithm consists of a two-step projection. The first projection is to project the given signal into the selected intermediate subspace, spanned by the integer conversion of the compact support kernel function. This process generates a set of sparse equations, which can be solved efficiently by using the sparse equation solver. The second key projection is to project the first projection result into the subspace of the known sampled signal. The secondary projection can be achieved with a digital linear translation invariant (LSI) filter and generate a uniformly spaced signal. As a result, compared with the traditional azimuth MCSAR signal-reconstruction algorithm, the proposed algorithm can improve SNR and reduce the azimuth ambiguity-signal-ratio (AASR). The processing results of simulated data and real raw data verify the effectiveness of the proposed algorithm.

Efficiency and Robustness Improvement of Airborne SAR Motion Compensation With High Resolution and Wide Swath

2020 ◽  
pp. 1-5
Author(s):  
Jianlai Chen ◽  
Buge Liang ◽  
Junchao Zhang ◽  
De-Gui Yang ◽  
Yuhui Deng ◽  
...  
Keyword(s):  
High Resolution ◽  
Motion Compensation ◽  
Airborne Sar ◽  
Wide Swath
Sign in / Sign up

Export Citation Format

Share Document