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Impact of LO Phase Error on Spatial Structures in Imaging Data

Explore the effects of LO phase drift on visibility errors impacting brightness temperature structures in spatial data analysis. Discover how even small phase errors can lead to systematic behavior in geophysical signal detection. Simulation data confirms experimental findings, emphasizing the significance of LO phase error cancellation to avoid spatial structure distortions in image retrievals.

amery-marshall
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Impact of LO Phase Error on Spatial Structures in Imaging Data

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  1. LO calibration rate discussion UPC/BEC

  2. Reference image Hawaii UPC analysis QWG-5 ESRIN

  3. Differences snapshot to snapshot QWG-5 ESRIN

  4. Tmeas-Tref Thermal noise is huge!! QWG-5 ESRIN

  5. SEPARATING NOISE COMPONENTS Calibrated visibility: decimation schemas interpolated to time meas from cal data Differences The visibility has thermal noise: then Error in geophysical signal Thermal noise component QWG-5 ESRIN

  6. QWG-5 ESRIN

  7. QWG-5 ESRIN

  8. QWG-5 ESRIN

  9. Does averaging cancel the LO phase error? (Tx+Ty)/2 averaging 0 to 40º incidence angles. Simulation: Vref+phase error 10min-2min 6min-2min Spatial structures appear both cross-track and along-track QWG-5 ESRIN

  10. Same effect in real data Actual data with decimated calibration 10min-2min 6min-2min The structures are still present QWG-5 ESRIN

  11. The LO-phase error induces structure in xi-eta 6min-2min Average of 126 snapshots of TBn-TB2 (actual data) 10min-2min QWG-5 ESRIN

  12. Conclusions • LO phase drift produces non-random visibilities errors that translate to brightness temperature spatial structures in xi-eta. • Relatively small phase error (low standard deviation) may have impact on the image due to this systematic behaviour. • Simulation data confirms the experimental results. Spatial structures are expected to encounter in SSS retrievals due to imperfect LO phase error cancellation. QWG-5 ESRIN

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