井下救援人员定位中的信号抗干扰技术研究

摘要

Study downhole rescuers accurate location problem. The circumstance of underground communication is complicated, there are a lot of nonlinear multiplicative noises, which makes wireless location communication signal weakened dramatically, the interference caused by human body movement is also hard to inhibit. In order to avoid the above defects, the article put forward a method based on feature separation algorithm of downhole rescuers accurate positioning method. To collect signal continuous wavelet transform processing, the interference signal information was removed to improve the accuracy of the signal. Making use of the characteristic separation methods, the rescue personnel positioning signal was separated out, so as to realize the downhole rescue personnel positioning. The experimental results show that the algorithm can remove the interference of external factors and improve the accuracy of the underground rescue personnel positioning.%研究井下救援人员准确定位问题.针对井下通信情况较为复杂,存在大量的非线性乘性噪声,使得无线定位通信信号大幅减弱,人体运动中产生的干扰也很难抑制.传统的CAB算法在弱信号强干扰的条件下不能抑制干扰,且对运动干扰的稳健性较差,造成人员定位不准.为了避免上述缺陷,提出了一种采用特征分离算法的井下救援人员准确定位方法.对采集的信号进行连续小波变换处理,去除信号中的干扰信息,提高信号的准确性.利用特征分离方法,分离出救援人员定位信号,从而实现井下救援人员定位.实验结果表明,利用特征分离算法能够去除外界因素的干扰,提高井下救援人员定位的准确性.