The novel compensating method directly demodulates the signals without the carrier recovery processes, in which the carrier with original modulation frequency is used as the local coherent carrier. In this way, the ph...The novel compensating method directly demodulates the signals without the carrier recovery processes, in which the carrier with original modulation frequency is used as the local coherent carrier. In this way, the phase offsets due to frequency shift are linear. Based on this premise, the compensation processes are： firstly, the phase offsets between the baseband neighbor-symbols after clock recovery is unbiasedly estimated among the reference symbols; then, the receiving signals symbols are adjusted by the phase estimation value; finally, the phase offsets after adjusting are compensated by the least mean squares （LMS） algorithm. In order to express the compensation processes and ability clearly, the quadrature phase shift keying （QPSK） modulation signals are regarded as examples for Matlab simulation. BER simulations are carried out using the Monte-Carlo method. The learning curves are obtained to study the algorithm＇s convergence ability. The constellation figures are also simulated to observe the compensation results directly.展开更多
提出了一种新的移频干扰方法,利用线性调频(linear frequency modulated,LFM)信号频率差与时间无关的特性,将LFM信号与其自身延迟信号相乘,获得当前脉冲线性时频关系与频率差,并用此频率差对LFM信号进行移频,所得到的干扰信号对频率捷...提出了一种新的移频干扰方法,利用线性调频(linear frequency modulated,LFM)信号频率差与时间无关的特性,将LFM信号与其自身延迟信号相乘,获得当前脉冲线性时频关系与频率差,并用此频率差对LFM信号进行移频,所得到的干扰信号对频率捷变和频率分集具有自适应性。给出了一种实现此算法的干扰机结构,并推导了干扰信号经匹配滤波后增益损失计算方法。最后进行了仿真验证,仿真结果与理论分析一致。展开更多
基金supported by the National Natural Science Foundation of China(60532030)
文摘The novel compensating method directly demodulates the signals without the carrier recovery processes, in which the carrier with original modulation frequency is used as the local coherent carrier. In this way, the phase offsets due to frequency shift are linear. Based on this premise, the compensation processes are： firstly, the phase offsets between the baseband neighbor-symbols after clock recovery is unbiasedly estimated among the reference symbols; then, the receiving signals symbols are adjusted by the phase estimation value; finally, the phase offsets after adjusting are compensated by the least mean squares （LMS） algorithm. In order to express the compensation processes and ability clearly, the quadrature phase shift keying （QPSK） modulation signals are regarded as examples for Matlab simulation. BER simulations are carried out using the Monte-Carlo method. The learning curves are obtained to study the algorithm＇s convergence ability. The constellation figures are also simulated to observe the compensation results directly.
文摘提出了一种新的移频干扰方法,利用线性调频(linear frequency modulated,LFM)信号频率差与时间无关的特性,将LFM信号与其自身延迟信号相乘,获得当前脉冲线性时频关系与频率差,并用此频率差对LFM信号进行移频,所得到的干扰信号对频率捷变和频率分集具有自适应性。给出了一种实现此算法的干扰机结构,并推导了干扰信号经匹配滤波后增益损失计算方法。最后进行了仿真验证,仿真结果与理论分析一致。
