针对最小均方误差准则下(Minimum Mean Square Error,MMSE)判决反馈信道估计算法在多输入多输出正交频分复用(Multiple-input Multiple-output Orthogonal Frequency Division Multiplexing,MIMO-OFDM)低信噪比水声通信环境下存在误码...针对最小均方误差准则下(Minimum Mean Square Error,MMSE)判决反馈信道估计算法在多输入多输出正交频分复用(Multiple-input Multiple-output Orthogonal Frequency Division Multiplexing,MIMO-OFDM)低信噪比水声通信环境下存在误码遗传缺陷,提出了一种基于压缩感知理论的改进的MMSE判决反馈信道估计算法。通过结合浅海水声信道的稀疏性特点,利用编码校验后的信息与原始信息实现了对信道估计的判决反馈更新,采用匹配追踪算法改进MMSE判决反馈追踪信道估计技术,实现了抑制传统判决反馈信道估计算法在迭代更新及传递过程中存在的误码遗传的目的。仿真和水池实验结果证实:改进的MMSE判决反馈追踪信道估计算法不仅可以有效的抑制误码遗传,对抗突发噪声,跟踪信道的缓慢时变,同时大幅降低了导频占用率,提高了通信质量。展开更多
为有效降低体域网加速度数据远程获取系统功耗,提出一种用于低功耗的体域网加速度数据压缩感知处理框架。首先基于优化的稀疏二进制测量矩阵,线性投影压缩体域网传感节点的加速度数据,降低相应节点压缩算法的复杂性和数据传输量;在此基...为有效降低体域网加速度数据远程获取系统功耗,提出一种用于低功耗的体域网加速度数据压缩感知处理框架。首先基于优化的稀疏二进制测量矩阵,线性投影压缩体域网传感节点的加速度数据,降低相应节点压缩算法的复杂性和数据传输量;在此基础上,基于块稀疏贝叶斯学习模型,构建非稀疏加速度数据压缩感知重构算法,实现低功耗远程获取加速度数据。实验采用USC-HAD数据库的加速度数据,评估所提方法的有效性。结果表明,当优化稀疏二进制测量矩阵中每列非零元素个数为6、压缩率为50%时,能够获得与传统优化高斯随机矩阵、伯努利随机矩阵相同的压缩重构误差(约0.004 5);与一些传统的压缩感知重构算法相比,所提出的重构算法提高信噪比约17 d B,显著改善重构性能,可有效实现低功耗远程获取加速度数据。该方法有助于传感节点硬件简化设计,改善加速度数据重构性能,为构建低功耗体域网人体活动远程监测系统提供新的思路和方法。展开更多
We propose a ground moving target detection method for dual-channel Wide Area Surveillance(WAS) radar based on Compressed Sensing(CS).Firstly,the method of moving target detection of the WAS radar is studied.In order ...We propose a ground moving target detection method for dual-channel Wide Area Surveillance(WAS) radar based on Compressed Sensing(CS).Firstly,the method of moving target detection of the WAS radar is studied.In order to reduce the sample data quantity of the radar,the echo data is randomly sampled in the azimuth direction,then,the matched filter is used to perform the range direction focus.We can use the compressive sensing theory to recover the signal in the Doppler domain.At last,the phase difference between the two channels is compensated to suppress the clutter.The result of the simulated data verifies the effectiveness of the proposed method.展开更多
文摘针对最小均方误差准则下(Minimum Mean Square Error,MMSE)判决反馈信道估计算法在多输入多输出正交频分复用(Multiple-input Multiple-output Orthogonal Frequency Division Multiplexing,MIMO-OFDM)低信噪比水声通信环境下存在误码遗传缺陷,提出了一种基于压缩感知理论的改进的MMSE判决反馈信道估计算法。通过结合浅海水声信道的稀疏性特点,利用编码校验后的信息与原始信息实现了对信道估计的判决反馈更新,采用匹配追踪算法改进MMSE判决反馈追踪信道估计技术,实现了抑制传统判决反馈信道估计算法在迭代更新及传递过程中存在的误码遗传的目的。仿真和水池实验结果证实:改进的MMSE判决反馈追踪信道估计算法不仅可以有效的抑制误码遗传,对抗突发噪声,跟踪信道的缓慢时变,同时大幅降低了导频占用率,提高了通信质量。
文摘为有效降低体域网加速度数据远程获取系统功耗,提出一种用于低功耗的体域网加速度数据压缩感知处理框架。首先基于优化的稀疏二进制测量矩阵,线性投影压缩体域网传感节点的加速度数据,降低相应节点压缩算法的复杂性和数据传输量;在此基础上,基于块稀疏贝叶斯学习模型,构建非稀疏加速度数据压缩感知重构算法,实现低功耗远程获取加速度数据。实验采用USC-HAD数据库的加速度数据,评估所提方法的有效性。结果表明,当优化稀疏二进制测量矩阵中每列非零元素个数为6、压缩率为50%时,能够获得与传统优化高斯随机矩阵、伯努利随机矩阵相同的压缩重构误差(约0.004 5);与一些传统的压缩感知重构算法相比,所提出的重构算法提高信噪比约17 d B,显著改善重构性能,可有效实现低功耗远程获取加速度数据。该方法有助于传感节点硬件简化设计,改善加速度数据重构性能,为构建低功耗体域网人体活动远程监测系统提供新的思路和方法。
文摘We propose a ground moving target detection method for dual-channel Wide Area Surveillance(WAS) radar based on Compressed Sensing(CS).Firstly,the method of moving target detection of the WAS radar is studied.In order to reduce the sample data quantity of the radar,the echo data is randomly sampled in the azimuth direction,then,the matched filter is used to perform the range direction focus.We can use the compressive sensing theory to recover the signal in the Doppler domain.At last,the phase difference between the two channels is compensated to suppress the clutter.The result of the simulated data verifies the effectiveness of the proposed method.
