Traditional chaotic pulse position modulation(CPPM)system has many drawbacks.It introduces delay into the feedback loop,which will lead to divergence of chaotic map easily.The wrong decision of data will cause error p...Traditional chaotic pulse position modulation(CPPM)system has many drawbacks.It introduces delay into the feedback loop,which will lead to divergence of chaotic map easily.The wrong decision of data will cause error propagation.Mismatch of parameters and synchronization error between the receiver and transmitter will arouse high bit error rate.To solve these problems,a demodulation algorithm of CPPM based on particle filtering is proposed.According to the mathematical model of the system,it tracks the real signal by online separation in demodulation.Simulation results show that the proposed method can track the true signal better than the traditional CPPM scheme.What's more,it has good synchronization robustness,reduced error propagation by wrong decision and low bit error rate.展开更多
Since the poor performance of orthogonal binary Pulse Position Modulation (PPM) compared with binary Pulse Amplitude Modulation (PAM), this paper presents a new modulation scheme named Pulse Width Modulation (PWM) for...Since the poor performance of orthogonal binary Pulse Position Modulation (PPM) compared with binary Pulse Amplitude Modulation (PAM), this paper presents a new modulation scheme named Pulse Width Modulation (PWM) for Impulse Radio Ultra-WideBand (IR-UWB) communication systems. This modulation scheme uses pulses with equal amplitude and different widths to carry different information. The receiver employs differences between similarity coefficients among these pulses to distinguish different information. Both theoretical analysis and simulation results verify that this novel scheme has a Signal to Noise Ratio (SNR) gain of about 1.75 dB compared with or- thogonal binary PPM, and has an SNR loss of about 1.4 dB compared with binary PAM. Although both the theoretical analysis and simulations are based on time-hopping multiple access, this modulation scheme can also be applied to other accessing techniques of UWB communication systems.展开更多
针对普遍单脉冲位置调制的不足,在已有的UWB(Ultra-Wideband)脉冲位置调制研究基础上,提出了一种改进的双极性多脉冲位置调制(AMPPM:Ambipolar Multi-Pulse Position Modulation)的UWB跳时调制方案,并对其加性高斯白噪声(AWGN:Additive ...针对普遍单脉冲位置调制的不足,在已有的UWB(Ultra-Wideband)脉冲位置调制研究基础上,提出了一种改进的双极性多脉冲位置调制(AMPPM:Ambipolar Multi-Pulse Position Modulation)的UWB跳时调制方案,并对其加性高斯白噪声(AWGN:Additive white Gaussian Noise)下的信道容量,最大可靠通信距离等性能指标进行了理论分析。理论分析及实验数值结果表明,在相同的条件下,与普通的单脉冲位置调制(PPM:Pulse Position Modulation)相比,AMPPM能获得较高的容量,即在给定可实现脉冲宽度下可获得更高的通信速率。仿真结果表明,当脉冲宽度为0.5 ns时,L进制AMPPM可达到333 Mbit/s的速率,而同等条件下的L进制PPM仅能达到167 Mbit/s的速率。同时AMPPM在最大可靠通信距离指标方面也较相应的PPM及脉冲幅度调制(PAM:Pulse Amplitude Modulation)有改善,在100 Mbit/s及10-4的误码率下可达到8 m的通信距离。展开更多
UWB(Ultra Wide-Band)无线通信技术是一种基于直接发射窄脉冲的新技术,因其具有低功耗、良好的抗干扰和抗多径能力、穿透性能好等特点,特别适用于隐藏动目标检测和近距离数据传输,具有广泛的应用前景。对比超宽带多种调制解调方式,选取...UWB(Ultra Wide-Band)无线通信技术是一种基于直接发射窄脉冲的新技术,因其具有低功耗、良好的抗干扰和抗多径能力、穿透性能好等特点,特别适用于隐藏动目标检测和近距离数据传输,具有广泛的应用前景。对比超宽带多种调制解调方式,选取了脉冲位置调制。介绍了使用Verilog语言,在FPGA上实现PPM(Pulse Position Modulation)调制解调器,实现了对UWB窄脉冲的基带调制。展开更多
针对跳时脉冲位置调制的超宽带(ultra wideband based on time hopping pulse position modulation,TH-PPMUWB)通信系统,提出一种新的稀疏信道盲估计算法。该算法首先对信号结构进行重构,把发射信号与信息符号之间的非线性模型转换为线...针对跳时脉冲位置调制的超宽带(ultra wideband based on time hopping pulse position modulation,TH-PPMUWB)通信系统,提出一种新的稀疏信道盲估计算法。该算法首先对信号结构进行重构,把发射信号与信息符号之间的非线性模型转换为线性模型,简化了信号处理难度;然后基于重构后的线性模型,推导出接收信号一阶统计向量与信道向量之间的关系,结合UWB信道的稀疏特性,估计出UWB信道参数,避免了无谓的抽头估计,提高了估计精度。仿真结果表明:新算法的均方误差(mean squared error,MSE)性能优于基于一阶统计量的盲信道估计算法,其BER性能也仅比理想信道差约1 dB。展开更多
High-precision localization technology is attracting widespread attention in harsh indoor environments.In this paper,we present a fingerprint localization and tracking system to estimate the locations of the tag based...High-precision localization technology is attracting widespread attention in harsh indoor environments.In this paper,we present a fingerprint localization and tracking system to estimate the locations of the tag based on a deep belief network(DBN).In this system,we propose using coefficients as fingerprints to combine the ultra-wideband(UWB)and inertial measurement unit(IMU)estimation linearly,termed as a HUID system.In particular,the fingerprints are trained by a DBN and estimated by a radial basis function(RBF).However,UWB-based estimation via a trilateral method is severely affected by the non-line-of-sight(NLoS)problem,which limits the localization precision.To tackle this problem,we adopt the random forest classifier to identify line-of-sight(LoS)and NLoS conditions.Then,we adopt the random forest regressor to mitigate ranging errors based on the identification results for improving UWB localization precision.The experimental results show that the mean square error(MSE)of the localization error for the proposed HUID system reduces by 12.96%,50.16%,and 64.92%compared with that of the existing extended Kalman filter(EKF),single UWB,and single IMU estimation methods,respectively.展开更多
基金Supported by the National Natural Science Foundation of China(No.41074090)Henan Science and Technology Key Project(No.092102210360)+1 种基金Henan Provincial Department of Education Science ang Technology Key Project(No.13A510330)Doctorate Program of Henan Polytechnic University(No.B2009-27)
文摘Traditional chaotic pulse position modulation(CPPM)system has many drawbacks.It introduces delay into the feedback loop,which will lead to divergence of chaotic map easily.The wrong decision of data will cause error propagation.Mismatch of parameters and synchronization error between the receiver and transmitter will arouse high bit error rate.To solve these problems,a demodulation algorithm of CPPM based on particle filtering is proposed.According to the mathematical model of the system,it tracks the real signal by online separation in demodulation.Simulation results show that the proposed method can track the true signal better than the traditional CPPM scheme.What's more,it has good synchronization robustness,reduced error propagation by wrong decision and low bit error rate.
文摘Since the poor performance of orthogonal binary Pulse Position Modulation (PPM) compared with binary Pulse Amplitude Modulation (PAM), this paper presents a new modulation scheme named Pulse Width Modulation (PWM) for Impulse Radio Ultra-WideBand (IR-UWB) communication systems. This modulation scheme uses pulses with equal amplitude and different widths to carry different information. The receiver employs differences between similarity coefficients among these pulses to distinguish different information. Both theoretical analysis and simulation results verify that this novel scheme has a Signal to Noise Ratio (SNR) gain of about 1.75 dB compared with or- thogonal binary PPM, and has an SNR loss of about 1.4 dB compared with binary PAM. Although both the theoretical analysis and simulations are based on time-hopping multiple access, this modulation scheme can also be applied to other accessing techniques of UWB communication systems.
文摘UWB(Ultra Wide-Band)无线通信技术是一种基于直接发射窄脉冲的新技术,因其具有低功耗、良好的抗干扰和抗多径能力、穿透性能好等特点,特别适用于隐藏动目标检测和近距离数据传输,具有广泛的应用前景。对比超宽带多种调制解调方式,选取了脉冲位置调制。介绍了使用Verilog语言,在FPGA上实现PPM(Pulse Position Modulation)调制解调器,实现了对UWB窄脉冲的基带调制。
文摘针对跳时脉冲位置调制的超宽带(ultra wideband based on time hopping pulse position modulation,TH-PPMUWB)通信系统,提出一种新的稀疏信道盲估计算法。该算法首先对信号结构进行重构,把发射信号与信息符号之间的非线性模型转换为线性模型,简化了信号处理难度;然后基于重构后的线性模型,推导出接收信号一阶统计向量与信道向量之间的关系,结合UWB信道的稀疏特性,估计出UWB信道参数,避免了无谓的抽头估计,提高了估计精度。仿真结果表明:新算法的均方误差(mean squared error,MSE)性能优于基于一阶统计量的盲信道估计算法,其BER性能也仅比理想信道差约1 dB。
基金supported in part by the National Natural Science Foundation of China under Grant No.61771474in part by the Postgraduate Research&Practice Innovation Program of Jiangsu Province under Grant No.KYCX212243+2 种基金in part by the Young Talents of Xuzhou Science and Technology Plan Project under Grant No.KC19051in part by the Open Research Fund of National Mobile Communications Research Laboratory,Southeast University under Grant No.2021D02in part by the Open Fund of Information Photonics and Optical Communications (IPOC) (BUPT)。
文摘High-precision localization technology is attracting widespread attention in harsh indoor environments.In this paper,we present a fingerprint localization and tracking system to estimate the locations of the tag based on a deep belief network(DBN).In this system,we propose using coefficients as fingerprints to combine the ultra-wideband(UWB)and inertial measurement unit(IMU)estimation linearly,termed as a HUID system.In particular,the fingerprints are trained by a DBN and estimated by a radial basis function(RBF).However,UWB-based estimation via a trilateral method is severely affected by the non-line-of-sight(NLoS)problem,which limits the localization precision.To tackle this problem,we adopt the random forest classifier to identify line-of-sight(LoS)and NLoS conditions.Then,we adopt the random forest regressor to mitigate ranging errors based on the identification results for improving UWB localization precision.The experimental results show that the mean square error(MSE)of the localization error for the proposed HUID system reduces by 12.96%,50.16%,and 64.92%compared with that of the existing extended Kalman filter(EKF),single UWB,and single IMU estimation methods,respectively.
