Atmospheric degradation correction of terahertz beams using multiscale signal restoration.
We present atmospheric degradation correction of terahertz (THz) beams based on multiscale signal decomposition and a combination of a Wiener deconvolution filter and artificial neural networks. THz beams suffer from strong attenuation by water molecules in the air. The proposed signal restoration approach finds the filter coefficients from a pair of reference signals previously measured from low-humidity conditions and current background air signals. Experimental results with two material samples of different chemical compositions demonstrate that the multiscale signal restoration technique is effective in correcting atmospheric degradation compared to individual and non-multiscale approaches.
Ryu
Choonwoo
C
Department of Electrical and Computer Engineering, Temple University, Philadelphia, Pennsylvania 19122, USA. choonwoo@temple.edu
Kong
Seong G
SG