On the Polarimetric Variable Improvement via Alignment of Subarray Channels in PPAR Using Weather Returns

Details

• Journal Title:
  IEEE Transactions on Geoscience and Remote Sensing
• Personal Author:
  Ivic, Igor R.
• NOAA Program & Office:
  CIMMS (Cooperative Institute for Mesoscale Meteorological Studies) ; OAR (Oceanic and Atmospheric Research) ; NSSL (National Severe Storms Laboratory)
• Description:
  Many modern phased-array radars (PARs) are multichannel systems that include multiple receivers for data acquisition. Each channel provides a signal from a group of Transmit/Receive modules comprising a section of the antenna. Channels typically consist of a full receive path, often with an independent local oscillator (LO) clock source. Such arrangement provides for beamforming flexibility on receive which can be applied in a digital domain. Consequently, the channel-to-channel phase and magnitude alignment is critical to maximizing the performance of the digital beamforming process and the accuracy of resulting detections and measurements. Herein, a novel method to improve such alignment using weather returns and achieve the improvement in the polarimetric variable estimates is described.
• Keywords:
  Antenna Measurements Meteorological Radar Meteorology Radar Antennas Radar Polarimetry Antenna Measurements Meteorological Radar Radar Antennas Radar Polarimetry
• Source:
  IEEE Transactions on Geoscience and Remote Sensing, 59(3), 2015–2027
• DOI:
  https://doi.org/10.1109/TGRS.2020.3003293
• Document Type:
  Journal Article
• Funding:
  Grant no. NA16OAR4320151
• Rights Information:
  Other
• Compliance:
  Submitted
• Main Document Checksum:
  urn:sha256:e5e433c3f8bda21afdb62174895298b8afe9d027c4e22f17cec9dbcce5dd2137
• Download URL:
  https://repository.library.noaa.gov/view/noaa/31716/noaa_31716_DS1.pdf
• File Type:
  [PDF - 2.54 MB ]