Research of Ultrasonic Ranging Error Compensation Algorithm
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摘要: 分析了超声测距原理及其存在误差的原因，提出了一种采用BP神经网络的超声测距误差补偿算法。该算法可对给定的输入向量和目标向量进行样本训练，在训练过程中不断调整权值、阈值，最终达到一定的映射关系以修正误差。仿真结果验证了该算法的有效性。Abstract: The paper analyzed principle of ultrasonic ranging and its main error causes and put forward an error compensation algorithm of ultrasonic ranging based on BP neural network. The algorithm trains samples of given input vector and target vector, and adjusts weights and threshold in process of training constantly, so as to reach a mapping relationship to correct error. The simulation result verified effectiveness of the algorithm.
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