Monte Carlo simulation of detecting space debris with lidar

On the basis of analysis and processing of space background radiatio n, the article gives the detection probability when the lidar detecting space debris, and compare the random va riable which is produced by Monte Carlo method with the detection probability, then get the detection results. The results reveal that, the detection model can well reflect the impact of the random variable such as characteristics of the noise fluctuations in the detection process. Keywords: laser technique, space debris, lid ar, space radiation, Monte Carlo 1 INTRODUCTION With the increasingly frequent spaceflight activities, the number of on-orbit spacecraft is gradually increasing, and at the same time the space debris are becoming more and more. So developing the technologies of detecting space debris play an important role in the safe spaceflight. As the good directivity of laser, it has been used more and more widely in target detection. Generally we can use Monte Carlo method, the experimentation and the formula which can describe the whole physical process to study on detecting space debris with laser. As the study on laser to space debris, the formula of one scattering echo can be established, but it is hard to give the formul a of numbers of scattering. Using experimentation will waste a mass of manpower, resources and money. However, the Monte Carlo method study directly from physical question , use random digits to simulate the process of detecting space debris w ith laser, and give the detection rule at last. As a result, the Monte Carlo method is a laconic and applied me thod to the study on space debris by laser. The basic idea of Monte Carlo method is that, in order to solve the problem, firstly establish a probability model or a random process, make its parameter or Eight value equal to the problem solution, then analyze the problem by observation or sample test of the model or process . The accu racy of the solution can be ex pressed by the standard error of the estimate