Maximum Nesigma0 Based on the New Steering Strategy for Geo Sar

Yuan, Sen; Li, Chunsheng; Yu, Ze; Geng, Jiwen; Yu, Jindong

doi:10.1109/igarss.2019.8898730

Cited by 3 publications

(2 citation statements)

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“…SNR mainly depends on Noise equivalent sigma zero (NESZ), which is defined as the receiving energy that are equal to the backscattering coefficient of the thermal noise energy [21]. The NESZ of GEO SAR is designed to be -20 dB as described in [21] and [22]. The radar parameter design for GEO SAR including the transmitter power design and SNR analysis are demonstrated in [22][23], which verify that the SNR in GEO SAR is not a thorny problem.…”

Section: Performance Analysismentioning

confidence: 80%

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Signal Separation in GEO SAR Imaging of Maneuvering Ships by Removing Micro-Motion Effect

Guo

et al. 2022

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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P is totally removed and the blue curve becomes flat. However, due to mismatching, the signal of B P is still modulated by the micro-motion and the red curve in Fig. 3(c) fluctuates. If Fourier transform is directly performed on A P in the azimuth direction after micro-motion compensation, the imaging result of A P will be degraded because of the interference caused by micro-motion of B P , as shown in Fig. 3(d). Therefore, signal separation must be performed by removing the micro-motion effect to guarantee the imaging quality. III. BASIC IDEA OF SIGNAL SEPARATIONSince the time-frequency characteristics of various scatterers are different, imaging needs to be performed scatterer by scatterer.

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