该文提出脉冲超宽带(Impulse Radio Ultra WideBand,IR-UWB)系统中一种基于改进传播算子算法(Propagator Method,PM)的到达时间(Time-Of-Arrival,TOA)和波达方向(Direction-Of-Arrival,DOA)联合估计方法。首先直接对接收信号的频域形式...该文提出脉冲超宽带(Impulse Radio Ultra WideBand,IR-UWB)系统中一种基于改进传播算子算法(Propagator Method,PM)的到达时间(Time-Of-Arrival,TOA)和波达方向(Direction-Of-Arrival,DOA)联合估计方法。首先直接对接收信号的频域形式建模,然后采用改进的PM算法估计出两根天线的TOA参数,最后由两根天线的到达时间差计算出信号的DOA参数,从而达到TOA和DOA联合估计的目的。该算法无需谱峰搜索就可直接得到TOA和DOA的闭式解,且可以实现参数自动配对,大大降低了复杂度。最后给出了该算法的大量实验仿真,以及与现有算法的比较,仿真结果验证了该方法的可行性、稳健性和优越性。展开更多
This paper introduces a human gesture recognition algorithm using an impulse radio ultra-wide- band (IR-UWB) radar sensor. Human gesture recognition has been one of the hottest research topics for quite a long time. M...This paper introduces a human gesture recognition algorithm using an impulse radio ultra-wide- band (IR-UWB) radar sensor. Human gesture recognition has been one of the hottest research topics for quite a long time. Many gesture recognition algorithms or systems using other sensors have been proposed such as using cameras, RFID tags and so on. Among which gesture recognition systems using cameras have been extensively studied in past years and widely used in practical. While it might show some deficiencies in some cases. For example, the users might not like to be filmed by cameras considering their privacies. Besides, it might not work well in very dark environments. While RFID tags could be inconvenient to many people and are likely to be lost. Our gesture recognition algorithm uses IR-UWB radar sensor which has pretty high resolution in ranging and adjustable gesture recognition range, meanwhile, does not have problems in privacy issues or darkness. In this paper, the gesture recognition algorithm is based on the moving direction and distance change of the human hand and the change of the frontal surface area of hand towards radar sensor. By combining these changes while doing gestures, the algorithm may recognize basically 6 kinds of hand gestures. The experimental results show that these gestures are of quite good performance. The performance analysis from experiments is also given.展开更多
阐述了一种基于脉冲无线电超宽带(Impulse radio ultra-wideband,IR-UWB)系统的高速低密度奇偶校验码(Low density parity-check codes,LDPC)算法推导及其性能比较,分析了渐进添边算法(Progressive edge-growth,PEG)结合分块准循环(Quas...阐述了一种基于脉冲无线电超宽带(Impulse radio ultra-wideband,IR-UWB)系统的高速低密度奇偶校验码(Low density parity-check codes,LDPC)算法推导及其性能比较,分析了渐进添边算法(Progressive edge-growth,PEG)结合分块准循环(Quasi-cyclic,QC)的方式实现校验矩阵的构造以及单位阵(I矩阵)和Q矩阵作为子循环矩阵时的性能,并通过Matlab仿真的误比特曲线对算法进行分析。该LDPC解码器的设计采用一种基于变量因子的最小和(Minimum sum,MS)译码算法,硬件复杂度较低,在标准UWB衰弱信道中,误码率10-6下产生约3.2dB信噪损失。展开更多
脉冲超宽带(impulse radio ultra-wideband,IR-UWB)是一种通过发射极窄脉冲进行信息传输的无线电技术.由于脉冲超宽带技术的工作频带特别宽,因此易混入其他无线系统的窄带干扰信号.针对超宽带系统中物理层同步头Kasarm序列的特点,提出...脉冲超宽带(impulse radio ultra-wideband,IR-UWB)是一种通过发射极窄脉冲进行信息传输的无线电技术.由于脉冲超宽带技术的工作频带特别宽,因此易混入其他无线系统的窄带干扰信号.针对超宽带系统中物理层同步头Kasarm序列的特点,提出了一种在IEEE802.15.6协议下的同步算法.一个Kasami序列可以被选为与接收信号进行积分相乘的同步模板.仿真结果表明,在存在强窄带信号干扰和码间干扰的情况下,该同步算法比其他针对IEEE 802.15.6协议的算法有更高的同步成功率和更低的复杂度.展开更多
文摘该文提出脉冲超宽带(Impulse Radio Ultra WideBand,IR-UWB)系统中一种基于改进传播算子算法(Propagator Method,PM)的到达时间(Time-Of-Arrival,TOA)和波达方向(Direction-Of-Arrival,DOA)联合估计方法。首先直接对接收信号的频域形式建模,然后采用改进的PM算法估计出两根天线的TOA参数,最后由两根天线的到达时间差计算出信号的DOA参数,从而达到TOA和DOA联合估计的目的。该算法无需谱峰搜索就可直接得到TOA和DOA的闭式解,且可以实现参数自动配对,大大降低了复杂度。最后给出了该算法的大量实验仿真,以及与现有算法的比较,仿真结果验证了该方法的可行性、稳健性和优越性。
文摘This paper introduces a human gesture recognition algorithm using an impulse radio ultra-wide- band (IR-UWB) radar sensor. Human gesture recognition has been one of the hottest research topics for quite a long time. Many gesture recognition algorithms or systems using other sensors have been proposed such as using cameras, RFID tags and so on. Among which gesture recognition systems using cameras have been extensively studied in past years and widely used in practical. While it might show some deficiencies in some cases. For example, the users might not like to be filmed by cameras considering their privacies. Besides, it might not work well in very dark environments. While RFID tags could be inconvenient to many people and are likely to be lost. Our gesture recognition algorithm uses IR-UWB radar sensor which has pretty high resolution in ranging and adjustable gesture recognition range, meanwhile, does not have problems in privacy issues or darkness. In this paper, the gesture recognition algorithm is based on the moving direction and distance change of the human hand and the change of the frontal surface area of hand towards radar sensor. By combining these changes while doing gestures, the algorithm may recognize basically 6 kinds of hand gestures. The experimental results show that these gestures are of quite good performance. The performance analysis from experiments is also given.
文摘阐述了一种基于脉冲无线电超宽带(Impulse radio ultra-wideband,IR-UWB)系统的高速低密度奇偶校验码(Low density parity-check codes,LDPC)算法推导及其性能比较,分析了渐进添边算法(Progressive edge-growth,PEG)结合分块准循环(Quasi-cyclic,QC)的方式实现校验矩阵的构造以及单位阵(I矩阵)和Q矩阵作为子循环矩阵时的性能,并通过Matlab仿真的误比特曲线对算法进行分析。该LDPC解码器的设计采用一种基于变量因子的最小和(Minimum sum,MS)译码算法,硬件复杂度较低,在标准UWB衰弱信道中,误码率10-6下产生约3.2dB信噪损失。
文摘脉冲超宽带(impulse radio ultra-wideband,IR-UWB)是一种通过发射极窄脉冲进行信息传输的无线电技术.由于脉冲超宽带技术的工作频带特别宽,因此易混入其他无线系统的窄带干扰信号.针对超宽带系统中物理层同步头Kasarm序列的特点,提出了一种在IEEE802.15.6协议下的同步算法.一个Kasami序列可以被选为与接收信号进行积分相乘的同步模板.仿真结果表明,在存在强窄带信号干扰和码间干扰的情况下,该同步算法比其他针对IEEE 802.15.6协议的算法有更高的同步成功率和更低的复杂度.
