Matrix rearrangement for ISAR echo completion with undersampled data

Shuo Wang; Yusheng Han; Hong Zhu

doi:10.1117/12.2586623

12 March 2021 Matrix rearrangement for ISAR echo completion with undersampled data

Shuo Wang, Yusheng Han, Hong Zhu

Proceedings Volume 11763, Seventh Symposium on Novel Photoelectronic Detection Technology and Applications; 117633L (2021) https://doi.org/10.1117/12.2586623
Event: Seventh Symposium on Novel Photoelectronic Detection Technology and Application 2020, 2020, Kunming, China

Abstract

Matrix completion (MC) is a technique of recovering a low rank matrix from partial observed elements and their corresponding subset of the entries, which has been applied in synthetic aperture radar (SAR) and inverse synthetic aperture radar (ISAR) imaging for compressing the sampling data. It is effective for undersampled data with random echo elements missing, but will not work well for situation that there are some random rows and columns with none of entries observed because the echo matrix will not satisfy the required condition of MC. However, it is easier to operate in practical application for the latter way and it needs to store limited number of corresponding subset. Thus, a novel way of matrix rearrangement is proposed for ISAR data based on the characteristics of ISAR echo. The new matrix satisfies the condition of MC, and it has better low rank property while reduces the computational time compared with the existing methods of matrix rearrangement. The effectiveness of the proposed method can be demonstrated by the simulation and experimental results.

Citation Download Citation

Shuo Wang, Yusheng Han, and Hong Zhu "Matrix rearrangement for ISAR echo completion with undersampled data", Proc. SPIE 11763, Seventh Symposium on Novel Photoelectronic Detection Technology and Applications, 117633L (12 March 2021); https://doi.org/10.1117/12.2586623

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