防干扰DFT信道估计算法

传统的DFT的信道估计算法只是把循环前缀以外的噪声忽略为0,其余都认为是有用的加性噪声,但是在循环前缀以内仍含有由于码间干扰(ICI)和信道干扰(ISI)带来的噪声以及其他的一些噪声干扰,严重影响了信道的估计值,本文在DFT算法之前首先消除了由ICI和ISI带来的干扰,再进行DFT的信道估计,最后在分别由禁忌算法和求导两种方法进一步消除循环前缀以内由于其他因素带来的噪声,这样大大增强了估计值的准确性,最后由matalb仿真结果可以看出,由于迭代算法和禁忌算法、求导方法的使用尽可能地消除了噪声的干扰,大大提高了信道的估计值,信道的误比特率和均方误差随着信噪比的增大越来越小,仿真结果证明改进的算法的性能优于传统的DFT算法,求导法性能略微优于禁忌算法。

Anti-Interference Channel Estimation Algorithm Based DFT

Traditional DFT channel estimation algorithm is to ignore the noise outside the cyclic prefix,think that noise is 0,the rest are considered useful additive noise.But within the cyclic prefix still contained noise caused by ICI and ISI,the estimate of the channel is affected seriously.In this paper,before the DFT algorithm first remove the interference caused by the ICI and ISI,then Channel is estimated,Finally use two methods to further eliminate noise because of other factors within the prefix by taboo algorithm and derivation,this greatly enhances the accuracy of estimates.Finally,simulation results can be seen in matlab.As the use of iterative algorithms to eliminate the interference noise as much as possible,the rate of Channel bit error and mean square error became smaller and smaller as the signal to noise increases.Experiments show that the improved algorithm is superior to the traditional DFT algorithm,derivation method is better than a taboo algorithm.