Research on Radar Imaging Based on Complex Approximate Message Passing in the Terahertz Band

The large bandwidth signal of terahertz radar can achieve high resolution, meanwhile, it has higher requirements on the sampling rate and data processing capability of the system. A Complex Approximate Message Passing algorithm based on sparse recovery theory was proposed in this paper, which realiz...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Proceedings International Radar Symposium s. 1 - 6
Hlavní autoři: Jiang, Xinrui, Yang, Qi, Deng, Bin, Wang, Hongqiang, Liu, Kang
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: German Institute of Navigation (DGON) 01.06.2019
Témata:
Approximation algorithms
Imaging
Message passing
Radar imaging
Signal processing algorithms
Signal to noise ratio
ISSN:2155-5753
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:The large bandwidth signal of terahertz radar can achieve high resolution, meanwhile, it has higher requirements on the sampling rate and data processing capability of the system. A Complex Approximate Message Passing algorithm based on sparse recovery theory was proposed in this paper, which realized the reconstruction of echo signals at low sampling rate. The turntable model was used firstly to achieve two-dimensional imaging of the target. Then the Double Integration algorithm, the Complex Approximate Message Passing algorithm and the Fast Iteration Soft Threshold algorithm was used to reconstruct the target image. Comparison of the imaging results of the three algorithms verifies the superiority of the proposed algorithm.
ISSN:2155-5753
DOI:10.23919/IRS.2019.8768088