Terahertz compressive imaging: understanding and improvement by a better strategy for data selection

Abstract

Compressive sensing (CS) is a novel sampling modality, which indicates the signals can be sampled at a rate much below the Nyquist sampling rate. CS has increasing interest recently due to high demand of rapid, efficient, and in‐expensive signal processing applications in the μmWave and mmWave frequencies, such as communication and imaging. There have been a lot of theoretical studies on this topic, but there is a lack of systematic experimental analysis of the implementation method itself. In this paper, we have investigated the influencing factors of terahertz compressive sensing based on experimental results, including illumination and the size of the pixel. Besides, to differentiate from current approaches, which generally make full use of the data, we propose to sort the data first and select a part of them based on amplitude, which might deliver a better image by prompting the mathematical calculations compulsively. We believe that such considerations given above would help to make a better system design and improve the performance of compressive imaging, and these results will also be helpful in the application of terahertz communication.

Recent Progress of Terahertz Spatial Light Modulators: Materials, Principles and Applications

“…However, the modulation parameters are not reconfigurable, and the modulation speed is limited. The repeated optical alignment leads to poor system stability [ 15 , 16 ]. SLMs based on liquid crystals (LC) [ 17 , 18 ] and digital micromirror devices (DMD) [ 19 ] are widely used in optical frequencies but encounter significant challenge in the THz region.…”

Guest editorial for the special issue on modeling of μmWave and mmWave electronic devices for wireless systems: Connecting technologies to applications

“…The high‐quality contributions on modeling and characterization of electron devices give an in‐depth understanding on the crucial role of the accurate modeling, 1–6 and the benefits of this are clearly appreciable when active circuits, such as power amplifiers, 6–8 passive circuits, 9,10 and antennas, 11–13 have to be designed or investigated at such high frequencies. In addition to the aforementioned topics, data analyzes for specific application such as imaging are included 14 …”