CAJ | 학술논문

对于稀疏多径衰落信道,提出了一种叠加训练序列和匹配跟踪算法相结合的信道估计方法.为了提高系统带宽效率,采用迭代的叠加训练估计信道响应,该方法将一低功率周期性的训练序列直接叠加于信息序列,利用接收数据的均值求得信道响应,不需要任何额外带宽资源.在许多无线通信环境中,信道呈现稀疏特性,利用该稀疏特性,采用匹配跟踪算法估计信道响应中的非0点,以此可以降低加性高斯白噪声引起的性能损失.通过计算机仿真表明,本文的方法可以达到很好信道估计性能.
대우희소다경쇠락신도,제출료일충첩가훈련서렬화필배근종산법상결합적신도고계방법.위료제고계통대관효솔,채용질대적첩가훈련고계신도향응,해방법장일저공솔주기성적훈련서렬직접첩가우신식서렬,이용접수수거적균치구득신도향응,불수요임하액외대관자원.재허다무선통신배경중,신도정현희소특성,이용해희소특성,채용필배근종산법고계신도향응중적비0점,이차가이강저가성고사백조성인기적성능손실.통과계산궤방진표명,본문적방법가이체도흔호신도고계성능.
For sparse multi-path fading channel, a channel estimation method using superimposed straining combined with matching pursuit (MP) algorithm is presented. In order to improve the efficiency of system bandwidth, an iterative superimposed straining based channel estimation method is presented. In this method, a periodic training sequence with low power is superimposed to the information sequence at transmitter. With the mean of received data, channel parameters can be estimated without consuming any extra system bandwidth at receiver. Channels with a sparse impulse response arise in a number of wireless communication environments, exploiting this characteristic, a matching pursuit (MP) algorithm is utilized to estimate the nonzero taps of channel coefficients, so performance loss caused by AWGN can be reduced. From the result of computer simulations,the proposed method can achieve good channel estimation performance is shown.