This paper proposes a new receive scheme and a class of time domain second order polynomial Nyquist window functions, and applies them to Orthogonal Frequency-Division Multiplexing （ OFDM ） systems in order to reduc...This paper proposes a new receive scheme and a class of time domain second order polynomial Nyquist window functions, and applies them to Orthogonal Frequency-Division Multiplexing （ OFDM ） systems in order to reduce Inter-Carrier Interference （ICI） induced by frequency offset. This paper also analyzes the Signal to ICI plus Noise Ratio （SINR） and Bit Error Rate （BER） performances of the receiver. Additionally, this paper proposes a method to select optimum window parameters to maximize the SINR of the receiver thus providing an adaptive receiving capability. Our results show that the proposed method enables the use of unity roll-off factor, provides better SINR and BER than conventional receive methods whose roll-off factors are generally less than one. The new second order polynomial window is shown to provide better performance than raised cosine and ＂better than ＂ Nyquist window.展开更多
基于Gabor框架的窄脉冲信号采样及重构效果已经得到验证,其解决了有限新息率(finite rate of innovation,FRI)采样方法无法在波形未知的情况下重构出脉冲波形的问题.但是目前的Gabor框架采样系统的窗函数构造复杂且难以物理实现.本文将...基于Gabor框架的窄脉冲信号采样及重构效果已经得到验证,其解决了有限新息率(finite rate of innovation,FRI)采样方法无法在波形未知的情况下重构出脉冲波形的问题.但是目前的Gabor框架采样系统的窗函数构造复杂且难以物理实现.本文将指数再生窗函数引入Gabor框架,将窗函数序列调制部分简化为一阶巴特沃斯模拟滤波器,构造了Gabor系数重构所需要的压缩感知(compressed sensing,CS)测量矩阵.为了使得测量矩阵满足信号精确重构所需的约束等距特性(restricted isometry property,RIP),根据高阶指数样条函数能量聚集特性,选择了最优的窗函数支撑宽度,推导了信号重构所需的约束条件,还对其鲁棒性进行了分析.本文通过仿真实验对上述分析进行了有效验证,该系统可应用于测试仪器、状态监测、雷达及通信领域等多种背景下的窄脉冲信号采样与重构.展开更多
文摘This paper proposes a new receive scheme and a class of time domain second order polynomial Nyquist window functions, and applies them to Orthogonal Frequency-Division Multiplexing （ OFDM ） systems in order to reduce Inter-Carrier Interference （ICI） induced by frequency offset. This paper also analyzes the Signal to ICI plus Noise Ratio （SINR） and Bit Error Rate （BER） performances of the receiver. Additionally, this paper proposes a method to select optimum window parameters to maximize the SINR of the receiver thus providing an adaptive receiving capability. Our results show that the proposed method enables the use of unity roll-off factor, provides better SINR and BER than conventional receive methods whose roll-off factors are generally less than one. The new second order polynomial window is shown to provide better performance than raised cosine and ＂better than ＂ Nyquist window.
