4.7 Article

A Dual-Band Difference Ionosphere Compensation Algorithm for Mars Orbiter Subsurface Investigation Radar

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TGRS.2022.3144271

关键词

Contrast method (CM); dual-band difference (DBD); group delay; image focusing; Mars Advanced Radar for Subsurface and Ionosphere Sounding (MARSIS); Mars ionosphere dispersion; phase-gradient-autofocus (PGA)

资金

  1. National Key Research and Development Program of China [2021YFB3900100]
  2. National Natural Science Foundation of China [61871424]

向作者/读者索取更多资源

This article proposes a dual-band difference (DBD) ionosphere compensation algorithm which can simultaneously correct the defocus and sidelobe interference of echoes and compensate for the group delay, significantly important for accurately locating the subsurface structure of Mars.
When detecting the underground structure of Mars using an orbital subsurface investigation radar, it is essential to compensate for the ionosphere distortion of the received echo. The existing algorithms, such as the contrast method (CM) and the phase-gradient-autofocus (PGA) algorithm, can mainly compensate for the defocus of the echo, but it is difficult to compensate for the group delay at the same time, resulting in the deviation between the echo position and the terrain profile. This article analyzes the interference of Martian ionosphere to the echo of subsurface investigation radar and proposes a dual-band difference (DBD) ionosphere compensation algorithm. First, the group delay model of radar echo under ionospheric interference is established. Then, the equivalent plasma frequency of the ionosphere is calculated according to the group delay difference of echoes in two bands, and the Taylor coefficients of the phase error are calculated. Finally, the echoes are accurately compensated with the Taylor series model of phase shift. This algorithm can correct the defocus and sidelobe interference and simultaneously compensate for the group delay, which is greatly significant to accurately locate the subsurface structure of Mars. The experiments on the simulation data and the echo of the Mars Advanced Radar for Subsurface and Ionosphere Sounding (MARSIS) show the feasibility of this method. Compared with the traditional way, this algorithm is suitable for both high- and low-frequency situations, and the high computational efficiency without iteration makes on-orbit real-time ionosphere compensation possible. Moreover, with the effective correction of topographic offset, the total electron content (TEC) can also be accurately retrieved.

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