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Capture Probability And Tracking Algorithm Of Moving Target In Laser Detection

Posted on:2015-12-24Degree:MasterType:Thesis
Country:ChinaCandidate:Y Q ZhangFull Text:PDF
GTID:2308330464968773Subject:Optics
Abstract/Summary:PDF Full Text Request
Lidar is a kind of detection system which is used to calibrate the location, speed and other parameters of the targets based on the scattering information after the laser beam irradiates the target. Compared with microwave radar, Lidar has many unique advantages in angular resolution, range resolution, and anti-interference ability when it is applied to detecting distant small targets. The performance of laser radar detection system, which is used to detect and capture targets, is measured by its ability to capture and track the target. It is an important indicator to study on the probability of the system to capture the target moving in different trajectories, especially when the target has uncertain motion trail.Firstly, the basic principle of lidar is introduced, including the composition of lidar system, the selection of target model and the design of laser scanning mode. The research on capture probabilities is conducted by simulating target trajectory arc during exercise with uniform circular motion model. In one way of rectangular scanning and another way of rectangular-spiral scanning, the acquisition probability equations of laser detection system are derived. On the basis of the existing experiments, both the detection probability and the integrated target acquisition probability are studied. Given a certain theory basis on the parameters of detection system, the acquisition probability provides the theoretical basis for the reasonable design of the detection system.Secondly, tracking target is studied. The target’s moving trajectory in certain airspace is simulated by using the Kalman filter algorithm. The experiment results show that when the moving model is given, the algorithm can estimate and track the target’s moving trajectory. The error will decrease and even the trajectory will completely coincide with the theoretical one with the filtering points increasing. Considering the detection region and maximum error between the estimated and theoretical moving trajectory, the system scanning region can completely cover signal and will detect and track signal even in the maximum error are confirmed. This algorithm can provide laser radar servo system with the trajectory information, which can be used to control the rotation of the scanning system and then the target will be tracked immediately.At last, in order to test the performance of capturing target further in different scanningmodes, the principle pilot system and the model to describe the target motion are built and run. Then an ongoing discussion on the result which is obtained after the acquisition probability experiment on the uniform circular motion is discussed.
Keywords/Search Tags:Lidar, Acquisition Probability, Target Tracking, Kalman Filter
PDF Full Text Request
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