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A novel digital intermediate frequency module for hyperspectral microwave radiometers based on the parallel fast

Xun Gong1, Ling Tong1, Bo Gao1

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This study presents a new intermediate frequency (IF) module for hyperspectral microwave radiometers, enhancing data processing capabilities. The module achieves real-time, high-resolution spectral analysis for improved planetary remote sensing.

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Area of Science:

  • Remote Sensing
  • Microwave Engineering
  • Signal Processing

Background:

  • Microwave radiometers are vital for planetary atmospheric and surface exploration due to their all-day, all-weather capabilities.
  • Hyperspectral detection technology offers significant potential to improve the precision and resolution of microwave radiometer measurements.

Purpose of the Study:

  • To introduce and characterize a novel intermediate frequency (IF) module designed for hyperspectral microwave radiometers.
  • To demonstrate the module's real-time data processing and high-channel-count output capabilities.

Main Methods:

  • The IF module integrates two 6.4 gigasamples per second analog-to-digital converter (ADC) chips and a Xilinx Virtex-7 field-programmable gate array (FPGA).
  • A parallel fast Fourier transform (FFT) algorithm and a pipeline architecture are employed for efficient real-time data processing.
  • The module's performance is evaluated through linearity, sensitivity, and flatness tests, and by interfacing with a radiometer's radio frequency front-end.

Main Results:

  • The IF module successfully processes all ADC sampling data in real-time, generating 512 output channels per ADC.
  • Test results confirm the module's linearity, sensitivity, and flatness.
  • Interfacing with the front-end and measuring calibration sources validated the module's sensitivity.

Conclusions:

  • The developed IF module significantly enhances the data processing capacity of hyperspectral microwave radiometers.
  • This module, when integrated with a suitable front-end receiver, forms a versatile radiometer system for diverse microwave remote sensing applications.