基于超螺旋精度提升机制的OFDM网络信道噪声消除算法

为解决当前OFDM网络信道噪声消除算法难以规避信道中的窄带莱斯噪声,且抗信道衰落能力不强,以及信道间普遍存在严重的频率干涉问题,提出了一种基于超螺旋精度提升机制的OFDM网络信道噪声消除算法.首先,根据各个传输子信道具有差异化的频率载波特性,将传输子信道等价为接收背景中的接收点,从而构建了超螺旋接收结构,有效消除不同传输子信道间存在的频率干扰特性,降低信道窄带莱斯噪声对信号预发射过程的衰落影响;随后,基于角度识别方式进行锐-钝识别,并结合拐点思想,采用序列重排技术,将待发射信号进行消波处理,并进行自旋精度提升,从而提高了其抗窄带莱斯噪声的性能.仿真实验表明:与常见的超高频精度自适应机制(UHF adaptive,UHFA)、共线度自旋精度提升机制(the degree of accuracy of collinear spin,DACS)相比,本文算法与理想状态下的OFDM功率谱密度曲线最为接近,具有更高的信号增益水平与更低的信道误码率.

Channel Noise Cancellation Algorithm for OFDM Network Based on Super Helix Precision Lifting Mechanism

In order to solve the current OFDM network channel noise elimination algorithm to eliminate the narrowband Rayleigh noise existing in the channel, and the presence of anti fading ability and inter channel existing serious frequency interference problem, an algorithm has been proposed of eliminating noise of OFDM network based on super precision spiral lifting mechanism; based on the characteristics of each carrier frequency transmission the sub channel has difference, transmission of the sub channel is equivalent to a reception point received in the background, the construction of supercoiled receiving structure, the structure can effectively avoid frequency interference characteristics in different transmission channel, effectively improve the signal emission intensity, reduce the effect of fading channel narrowband Rayleigh noise signal of the pre launch process then based on the acute angle obtuse; -combined with the inflection point of thought, construction of precision machine adopts spin rearrangement sequence elimination the processing of the transmitted signal is eliminated, which greatly improves the performance of the algorithm. Simulation results show that with the common precision ultra high frequencyspin lifting mechanism compared to the algorithm can effectively improve the signal gain, reducing the channel error rate, and the OFDM power spectrum under ideal state the density curve is the most close, with significant practical advantages.