Altitude ambiguity suppression method based on dual-frequency interfering and multi-frequency averaging for sparse baseline TomoSAR

Mofan Li, Yin Xiang*, Xinliang Chen, Yan Wang, Yiling Lu, Zegang Ding

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

Tomography SAR (TomoSAR) imaging can achieve three-dimensional (3D) imaging, which is significant for urban 3D mapping. When the baseline of TomoSAR is sparse, the scattering centres of several different altitudes in the same resolution unit are aliased together, which affects the accuracy of TomoSAR imaging. To solve this problem, an altitude ambiguity suppression method based on dual-frequency interfering and multi-frequency averaging is proposed. Firstly, dual-frequency interfering is used to obtain the radar cross-section (RCS) of targets and the sum of the results of the cross interference between targets and ambiguities in different positions. Then multi-frequency averaging is used to suppress the power of the cross-interference, and finally the RCS of target is accurately obtained. Simulation results verify the effectiveness of the proposed method.

Original languageEnglish
Pages (from-to)1194-1196
Number of pages3
JournalElectronics Letters
Volume55
Issue number22
DOIs
Publication statusPublished - 31 Oct 2019

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