The high solar background during the day adversely affects the long distance daytime operations of ghost imaging. It is extremely hard to distinguish the signal light from the background noise light after they are both converted to voltage or current signals by the bucket detector, so spectral filtering before the detector is quite important. In this work, a Faraday anomalous dispersion optical filter (FADOF) is used in eliminating the background light influence in ghost imaging. Results of lab experiment show that the background light noise tolerance of the ghost imaging with FADOF is at least 18 times bigger than that with a 10 nm optical filter. The method has simple structure, great performance and great algorithms compatibility.

Aiming at the problem that the ranging accuracy of the frequency-modulated continuous wave (FMCW) lidar decreases in the strong noise environment, experiments are carried out to verify the feasibility of the Faraday anomalous dispersion filter (FADOF) in the FMCW lidar system. The transmitter of the system uses the potassium atom vapor cell to stabilize the frequency and uses the field programmable gate array (FPGA) as the servo system. K-FADOF is used to suppress the additive noise at the receiving end of the lidar system. The results of this experiment show that the use of FADOF can successfully eliminate the interference of noise at the receiver. This experiment verifies the effectiveness of FADOF in suppressing noise in the field of FMCW lidar.

In this paper through compound linear matrix approach the six regional quality attributes will be mapped to vectorizable regional quality , among which, (core resources)x (excellent performance )= (process capability); (product inherent property) x (quality and technical supervision) = (product characteristic); (market constitution )x (market feedback) = (market effect). The voxel array sequence is utilized to build up spatial composite scale explaining the relative grade of regional quality, constructing the appraisal model of regional quality based on three key elements of process capability, product characteristic and market effect. By comparison and analysis based on simulation system and appraisal pointer approach between different regional qualities, the objective of evaluating regional quality can be realized.