Qianqian Wang

A new Monte Carlo simulation model for laser transmission in smokescreen based on MATLAB

A new Monte Carlo simulation model of laser transmission in smokescreen is promoted in this paper. In the traditional Monte Carlo simulation model, the radius of particles is set at the same value and the initial cosine value of photons direction is fixed also, which can only get the approximate result. The new model is achieved based on MATLAB and can simulate laser transmittance in smokescreen with different sizes of particles, and the output result of the model is close to the real scenarios. In order to alleviate the influence of the laser divergence while traveling in the air, we changed the initial direction cosine of photons on the basis of the traditional Monte Carlo model. The mixed radius particle smoke simulation results agree with the measured transmittance under the same experimental conditions with 5.42% error rate.

Study of cluster analysis used in explosives classification with laser-induced breakdown spectroscopy

Supervised learning methods (such as partial least squares regression-discriminant analysis, SIMCA, etc) are widely used in explosives recognition. The correct classification rate may be lowered if a sample or substrate is not included in the training dataset. Unsupervised learning methods (such as hierarchical clustering analysis, K-means, etc) have the potential to solve this problem. In this paper we analyzed results of using as input variables the intensities of seven lines and then five intensity ratios of the seven lines. It was demonstrated that unsupervised learning methods had the ability to achieve a better classification result.

Study of target tracking techniques based on non-scanning imaging lidar

Non-scanning imaging lidar, as a sensor, is applied in target tracking system to acquire distance image, intensity image and amplitude image, which makes it possible to achieve information fusion of the target. This system applies ARM as a hardware development platform which makes it easy to carry and achieve the system miniaturization. Target characteristics are extracted by the method combines codebook model and connected domain denoising to improve the accuracy of target characteristics extraction. Qt/Embedded development platform applied in building graphical user interface has a good architecture and programming mode which improves man-machine interaction and control efficiency. The results show the high accuracy of the target tracking, excellent man-machine interaction and perfect interface functions of the designed system.

An improved algorithm of laser spot center detection in strong noise background

Laser spot center detection is demanded in many applications. The common algorithms for laser spot center detection such as centroid and Hough transform method have poor anti-interference ability and low detection accuracy in the condition of strong background noise. In this paper, firstly, the median filtering was used to remove the noise while preserving the edge details of the image. Secondly, the binarization of the laser facula image was carried out to extract target image from background. Then the morphological filtering was performed to eliminate the noise points inside and outside the spot. At last, the edge of pretreated facula image was extracted and the laser spot center was obtained by using the circle fitting method. In the foundation of the circle fitting algorithm, the improved algorithm added median filtering, morphological filtering and other processing methods. This method could effectively filter background noise through theoretical analysis and experimental verification, which enhanced the anti-interference ability of laser spot center detection and also improved the detection accuracy.

Hybrid artificial bee colony algorithm for parameter optimization of five-parameter bidirectional reflectance distribution function model

A hybrid artificial bee colony (ABC) algorithm inspired by the best-so-far solution and bacterial chemotaxis was introduced to optimize the parameters of the five-parameter bidirectional reflectance distribution function (BRDF) model. To verify the performance of the hybrid ABC algorithm, we measured BRDF of three kinds of samples and simulated the undetermined parameters of the five-parameter BRDF model using the hybrid ABC algorithm and the genetic algorithm, respectively. The experimental results demonstrate that the hybrid ABC algorithm outperforms the genetic algorithm in convergence speed, accuracy, and time efficiency under the same conditions.

Analysis of laser energy characteristics of laser guided weapons based on the hardware-in-the-loop simulation system

The hardware-in-the-loop simulation system, which provides a precise, controllable and repeatable test conditions, is an important part of the development of the semi-active laser (SAL) guided weapons. In this paper, laser energy chain characteristics were studied, which provides a theoretical foundation for the SAL guidance technology and the hardware-in-the-loop simulation system. Firstly, a simplified equation was proposed to adjust the radar equation according to the principles of the hardware-in-the-loop simulation system. Secondly, a theoretical model and calculation method were given about the energy chain characteristics based on the hardware-in-the-loop simulation system. We then studied the reflection characteristics of target and the distance between the missile and target with major factors such as the weather factors. Finally, the accuracy of modeling was verified by experiment as the values measured experimentally generally follow the theoretical results from the model. And experimental results revealed that ratio of attenuation of the laser energy exhibited a non-linear change vs. pulse number, which were in accord with the actual condition.

Design and implementation of laser target simulator in hardware-in-the-loop simulation system based on LabWindows/CVI and RTX

In order to satisfy the requirements of the real-time and generality, a laser target simulator in semi-physical simulation system based on RTX+LabWindows/CVI platform is proposed in this paper. Compared with the upper-lower computers simulation platform architecture used in the most of the real-time system now, this system has better maintainability and portability. This system runs on the Windows platform, using Windows RTX real-time extension subsystem to ensure the real-time performance of the system combining with the reflective memory network to complete some real-time tasks such as calculating the simulation model, transmitting the simulation data, and keeping real-time communication. The real-time tasks of simulation system run under the RTSS process. At the same time, we use the LabWindows/CVI to compile a graphical interface, and complete some non-real-time tasks in the process of simulation such as man-machine interaction, display and storage of the simulation data, which run under the Win32 process. Through the design of RTX shared memory and task scheduling algorithm, the data interaction between the real-time tasks process of RTSS and non-real-time tasks process of Win32 is completed. The experimental results show that this system has the strongly real-time performance, highly stability, and highly simulation accuracy. At the same time, it also has the good performance of human-computer interaction.

Study on Feature Selective Validation Technology in Measurement of Laser Scattering Properties

In this letter, feature selection validation (FSV) technology is investigated to quantify the agreement between measured diffuse reflectivity of four kinds of samples (a polytetrafluoroethylene (PTFE) plate, a spray painted aluminum plate, a polished aluminum plate, and a plastic plate) and the corresponding Lambertian reflectance. Experimental results demonstrate that FSV can comprehensively illustrate the agreement between two sets of data relative to another traditional data matching method (the root mean square error analysis) and the diffuse reflectivity of PTFE plate is the most similar to the Lambertian reflectance compared with others.

Design of a high power laser diode driver

Laser diodes are preferred light sources for compact non-scanning imaging laser radar systems due to their small volume and easiness to be integrated. Therefore, lots of present studies focus on research of modulation characteristics of highpower laser diodes. A high-frequency modulated driver for a compact non-scanning imaging laser radar system is described in this paper. It is based on linear constant current theory and can modulate a high power laser diode quasi-continuously. A high-speed operational amplifier is used to drive a power MOSFET, which can take full advantages of the power MOSFET–low driver current and good dynamic characteristics. In addition, an operational amplifier and PI (Proportion-Integration) control are applied in a negative feedback network to improve the current stability further. In order to avoid damaging the laser diode, a slow start circuit and over-current protection circuit have also been designed. The maximum current of the over-current protection circuit can be set according to the requirement. In addition, the power supply can also be switched between CW and QCW operating modes. When the high power semiconductor laser is modulated by large signal, some nonlinear effects will occur such as turn-on delay, relaxation oscillation and modulation chirp. Some theoretical analysis and experimental research on some nonlinear effects have also been done. Experimental results are consistent with theoretical analysis by using this driver for a 1W GaAs quantum well laser.