Online calibration of traditional magnetometers requires the assistance of inertial sensors, resulting in complex calculations and unstable accuracy. To this end, a six sigma constrained online calibration method for magnetometers is proposed, which reclassifies the errors of magnetometers and constructs an accurate magnetometer error model. Use Six Sigma (SS) to manage the calibration model of magnetometers and achieve error classification of magnetometers. A six sigma constrained extended Kalman filter (SEKF) method is proposed to calibrate the magnetometer error. The experimental results show that in the aspect of heading correction, the heading Root-mean-square deviation of the proposed magnetometer online calibration method is reduced by more than 32% and 12% respectively compared with the gyroscope assisted (GA) method and the extended Kalman filter calibration (EKF) method. A high-precision online self-calibration method for magnetometers without inertial sensor assistance has been implemented.
Microwave frequency measurement (MFM) is to estimate frequencies of intercepted microwave signals, which is critical to modern military and civil radio-frequency (RF) systems, such as wireless communications, electronic countermeasure (ECM), radar warning and electronic intelligence systems. In this paper, a photonic-assisted MFM method based on harmonic down-conversion with semiconductor optical amplifiers (SOAs) is proposed. Two optical harmonic intensifiers consisting of an electro-optic intensity modulator and a SOA are used to generate high-order optical harmonics based on cascaded four-wave mixing in the SOA, which has low-frequency and tunable spacing. It enables ultra-wide harmonic down-conversion of microwave signals under test in the electrical domain with low-frequency local oscillator (LO). The microwave frequency is therefore unequivocally determined by cross-referencing two pairs of harmonic down-converted tones within the LO frequency. It enables multi-tone frequency measurement and eliminates the trade-off between the measurement range and frequency-resolution. Moreover, it avoids the limitation of deadband by the cross-referenced frequency discrimination.
Although autocollimators enable noncontact measurement, their performance is limited in large-scale and long-distance applications because of errors caused by nonideal point light sources. Therefore, we analyze this type of measurement error, including the error source and the equations used to describe the irradiance distribution of the light spot. A two-dimensional exponential approximation formula is used to express the light irradiance distribution and compensate the spot imaging errors. Experimental results show that the measurement error could be reduced by sixfold. Therefore, the proposed compensation algorithm can be applied to autocollimator measurements over distances.
We describe the contents of an advanced undergraduate course on photonics at School of Electrical Engineering, Chongqing University of Posts and Telecommunications. The main goal of the course is to equip the student with the necessary theoretical and practical knowledge to participate in photonics-related industry and further graduate level study and research if they choose. The prerequisites include college-level physics and higher mathematics which a general engineering student has already had in his/her first and second year college study. Although applications of photonics are ubiquitous such as telecommunications, photonic computing, spectroscopy, military technology, and biophotonics etc. Telecommunication information system application is more emphasized in our course considering about the potential job chances for our students.
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