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提高脉冲激光测距的测程研究
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摘要
本文针对脉冲激光测距系统中,远距离直接探测的情况下,激光回波信号微弱,信噪比低的问题,研究了多脉冲探测的方法,经过理论的模拟和实验的验证提高了系统的信噪比,从而提高了测距机的测程。
     研究了激光测距的基本原理和激光测距的能力,介绍了激光测距的一般方程和信噪比方程,并针对本文的实验环境,重点研究了回波信号功率、噪声等效辐照度和接收器的带宽。
     根据激光回波的统计特性,在分析了单脉冲测距性能较低的情况下,为了提高测距机的测程,研究了视频累积和二进制累积的探测原理,得出了视频累积的探测的信噪比与脉冲累积次数的定量关系、二进制累积后的探测概率和虚警概率的表达式,推导出了第一门限和第二门限的最佳值。在上述理论研究的基础上,得到了视频累积的性能优于二进制累积。但是在实际的应用中,二进制累积的电路实现比视频累积简单得多。
     根据理论研究,本文研制了相应的样机进行实验。在单脉冲测距信噪比较低而无法探测的情况下,通过二进制累积探测提高了信噪比,降低了虚警概率,提高了探测概率,使得测距机达到了850m的测程。
In the case of long-distance direct detection of the pulsed laser ranging system, the signal-to-noise ratio of the echo signal is very weak. In this paper, a multi-pulsed detection method is researched both in the theory and the experiment to solve the problem, so as to improving the range of the laser range finder.
     The detection equation and the SNR equation are obtained by researching the basic principle of laser ranging and its detection ability. Based on our experiment environment, the paper focuses on the echo signal power, wave, the noise equivalent irradiance, the bandwidth of acceptor circuit.
     According to the statistical character of laser echo, after the analysis of the performance of the single pulsed detection, the detection principle of the video integration and binary integration are studied to improve the measurement of the system. Then the relationship of the SNR of the video integration and the number of the pulses is found. According to the binary integration, the expressions of detection probability and false-alarm probability are developed. Also, the optimum values of the first threshold and the second threshold are gained. The performance of the video integration is better than the binary integration in theory research. But in the usage in our system, the video integration is so complicated that we prefer to use the binary integration.
     The experiments are done using a laser ranging system which is designed according to theoretical research. From the experiments, in the distance of 850m, the single pulsed detection is useless. But through the binary integration, the SNR is improved and the distance of 850m is detected.
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