粗糙目标对光外差探测信号的退相干效应
[Abstract]:Optical heterodyne detection is widely used in laser radar, coherent optical communication, remote sensing and industrial ultra-precision measurement because it can detect the amplitude, frequency and phase of the echo signal. In addition to wavefront matching, wavefront vector matching and pattern matching, the roughness of the target surface will also seriously affect the efficiency of echo heterodyne detection in practical applications. This paper focuses on this problem. 1. For light In terms of wave, the actual target is roughness basically, and the quantification of the roughness of the target surface is very important to quantitatively analyze the influence of the rough target on optical heterodyne detection. The length represents the "transverse" change of the rough surface. The surface topography of the actual rough target is simulated. The relationship between the roughness of the target surface and the two parameters is studied, which lays a foundation for the theoretical analysis of optical heterodyne performance of the rough target. 2. The Gaussian random rough surface model established by Monte Carlo method is used as the target to detect optical heterodyne. One-dimensional and two-dimensional simulation of signal light echo forward in the measurement system is carried out to illustrate the worsening matching between signal light and local oscillator in optical heterodyne detection of rough targets.Finally, the wavefront analyzer is used to analyze the light source wavefront, local oscillator wavefront, smooth target signal wavefront and rough target signal wavefront in optical heterodyne system. Measurements show that the wavefront of the signal is modulated by the rough surface of the target, and the distortion is serious. 3. In order to study the decoherence effect caused by the rough surface of the target, the detection process of the target echo signal is simulated by Monte Carlo method. The influence of surface roughness on IF signal is given, and the one-dimensional and two-dimensional distribution of normalized IF current on the photosensitive surface of the detector is given. In addition, two groups of optical heterodyne detection experiments are designed to verify the serious "decoherence" effect of target roughness on IF current. The experimental results fully illustrate the theoretical analysis conclusion. In order to solve this problem, the correlation between the optical heterodyne signal of target echo and the roughness parameter of target, the height of root mean square and the correlation length, is studied by Monte Carlo model of rough surface. The quantitative relationship curves between optical heterodyne signal and root mean square height and relative length are given by numerical simulation of a large number of optical heterodyne signals of different roughness degree targets.Finally, the optical heterodyne experiment is designed with the roughness comparison sample as the target to verify the simulation curves.5. The rough surface of the target causes random fluctuation of optical heterodyne signal. How to set the detection threshold accurately and decide whether there is a signal is difficult. Traditional target echo optical heterodyne detection is described by simple models such as Gaussian distribution, which often leads to decision error. A method to obtain the probability density curve of optical heterodyne signal accurately is proposed. The actual target measurement data is simulated by polynomial. Through the statistical analysis of several groups of measured data of an armored vehicle surface sample, it is shown that the decision threshold can be determined by polynomial fitting, and higher detection probability and lower false alarm probability can be obtained than by using simple Gaussian distribution to determine the threshold. Statistical histogram polynomial fitting method is advantageous to setting detection threshold accurately, which can increase detection probability by 6.02% and reduce false alarm probability by 7.7%. 6. Target vibration characteristic is the key technology of target recognition and lidar detection system design, and is also an important application of optical heterodyne detection technology. On the basis of the principle of property measurement, a laser Doppler vibration characteristic measurement system is designed and successfully applied to the vibration measurement of the loudspeaker in the laboratory and the vehicle in the outdoor. The corresponding vibration spectrum is obtained. This system can also be applied to the measurement of the characteristics of other vibration targets (such as aircraft, tanks, ships, etc.) to hit accurately. Attacking military targets and precise guidance is of great significance, which lays a foundation for the application and popularization of laser Doppler detection. In this paper, the optical heterodyne detection technology for rough targets and its practical application are deeply analyzed. The influence of the roughness of the target surface on the optical heterodyne detection signal is studied, and the decoherence caused by the targets with different roughness is given. A method to improve the accuracy of detection threshold is also proposed, which is illustrated by the measured IF signals of armored vehicles. It is proved that this method can effectively improve the detection probability. The phased results provide a quantitative reference for the design of the system and a basis for the performance evaluation and Simulation of the detection system.
【学位授予单位】:西安电子科技大学
【学位级别】:博士
【学位授予年份】:2015
【分类号】:TN24
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