摘要
针对外界传感环境中因信道噪声过强、频谱信号接收能力较差,导致监测误差大的问题,提出多传感信号融合方法。对原始采集的负荷强度信号实施降序处理,并利用小波包变换法对分配后的数据重新定义,运用函数定义序列重建原始强度数据,排除噪声干扰;以该数据值作为运动负荷强度的判定集合,参考传感器监测状态、强度评价参数以及灵敏度数值三者间对应关系,以国家规定强度参数为判定依据,完成运动强度监测。仿真实验证明,所提方法的监测精准度较高、稳定性较好、整体实用性较强。
Based on the problem of large monitoring error caused by strong channel noise and poor spectrum signal receiving ability in the external sensing environment,a method of multi-sensor signal fusion is proposed.The original collected load intensity signal is processed in descending order,the distributed data is redefined by wavelet packet transform,and the function definition sequence is used to reconstruct the original intensity data to eliminate noise interference.The data value is taken as the judgment set of exercise load intensity,and referred to the corresponding relationship among sensor monitoring status,intensity evaluation parameters and sensitivity values.Then,the national specified intensity parameters are served as the judgment basis to complete exercise intensity monitoring.Simulation results show that the proposed method has high monitoring accuracy,good stability and strong overall practicability.
作者
杨芳艳
黄可
周纯
吴海艳
YANG Fang-yan;HUANG Ke;ZHOU Chun;WU Hai-yan(College of Sports and Health,Changsha Medical University,Changsha 410219,China)
出处
《信息技术》
2023年第3期13-17,22,共6页
Information Technology
基金
长沙医学院青年骨干教师专项经费资助(湘教通〔2018〕311号-66)。
关键词
信道噪声
高维降序
小波包
贝叶斯算法
负荷强度
channel noise
high-dimensional descending order
wavelet packet
Bayesian algorithm
load intensity
