无线随钻测量MWD(Measurement While Drilling)利用泥浆脉冲进行信号的传输可以实时观测井底的相关数据,地面解码系统对接收到的泥浆脉冲信号进行正确的检测与识别是随钻测量的核心技术之一。然而,信道中存在的各种噪声会对信号的传输...无线随钻测量MWD(Measurement While Drilling)利用泥浆脉冲进行信号的传输可以实时观测井底的相关数据,地面解码系统对接收到的泥浆脉冲信号进行正确的检测与识别是随钻测量的核心技术之一。然而,信道中存在的各种噪声会对信号的传输与识别造成干扰与误码。首先对曼彻斯特编码泥浆脉冲信号的噪声进行了分析,在此基础上将归一化最小均方(NLMS)自适应滤波算法去除泥浆脉冲信号的噪声,与传统滤波方法相比,NLMS自适应滤波算法能更有效的去除各种噪声并能有效的消除泵冲基值对波形的影响。然后针对得到的去噪泥浆脉冲信号的特点,建立泥浆脉冲识别模型,将聚类识别算法应用到了泥浆脉冲信号的识别。最后现场试验结果表明,该解码过程简单实用,具有可靠性高、误码率低等特点,符合工程应用的要求。展开更多
A hybrid system of the fuzzy c-means （FCM） clustering algorithm and adaptive-two-stage linear approximation was presented for nonlinear distortion cancellation of radio frequency （RF） power amplifier （PA）. This ...A hybrid system of the fuzzy c-means （FCM） clustering algorithm and adaptive-two-stage linear approximation was presented for nonlinear distortion cancellation of radio frequency （RF） power amplifier （PA）. This mechanism can effectively eliminate noise, adaptively model PA＇s instantaneous change, and efficiently correct nonlinear distortion. This article puts forward the FCM clustering algorithm for clustering received signals to eliminate white noise, and then uses the adaptive-two-stage linear approximation to fit the inverse function of the amplitude＇s and phase＇s nonlinear mapping during the training phase. Parameters of the linear function and similarity function are trained using the gradient-descent and minimum mean-square error criteria. The proposed approach＇s training results is directly employed to eliminate sampling signal＇s nonlinear distortion. This hybrid method is realized easier than the multi-segment linear approximation and could reduce the received signal＇s bit error rate （BER） more efficiently.展开更多
文摘无线随钻测量MWD(Measurement While Drilling)利用泥浆脉冲进行信号的传输可以实时观测井底的相关数据,地面解码系统对接收到的泥浆脉冲信号进行正确的检测与识别是随钻测量的核心技术之一。然而,信道中存在的各种噪声会对信号的传输与识别造成干扰与误码。首先对曼彻斯特编码泥浆脉冲信号的噪声进行了分析,在此基础上将归一化最小均方(NLMS)自适应滤波算法去除泥浆脉冲信号的噪声,与传统滤波方法相比,NLMS自适应滤波算法能更有效的去除各种噪声并能有效的消除泵冲基值对波形的影响。然后针对得到的去噪泥浆脉冲信号的特点,建立泥浆脉冲识别模型,将聚类识别算法应用到了泥浆脉冲信号的识别。最后现场试验结果表明,该解码过程简单实用,具有可靠性高、误码率低等特点,符合工程应用的要求。
基金supported by the National Natural Science Foundation of China(61171104)
文摘A hybrid system of the fuzzy c-means （FCM） clustering algorithm and adaptive-two-stage linear approximation was presented for nonlinear distortion cancellation of radio frequency （RF） power amplifier （PA）. This mechanism can effectively eliminate noise, adaptively model PA＇s instantaneous change, and efficiently correct nonlinear distortion. This article puts forward the FCM clustering algorithm for clustering received signals to eliminate white noise, and then uses the adaptive-two-stage linear approximation to fit the inverse function of the amplitude＇s and phase＇s nonlinear mapping during the training phase. Parameters of the linear function and similarity function are trained using the gradient-descent and minimum mean-square error criteria. The proposed approach＇s training results is directly employed to eliminate sampling signal＇s nonlinear distortion. This hybrid method is realized easier than the multi-segment linear approximation and could reduce the received signal＇s bit error rate （BER） more efficiently.
