摘要
针对授权窄带系统可能对认知OFDM系统造成的窄带干扰,提出了一种抗窄带干扰的递推式干扰检测和译码算法。该算法构造了一种新颖的递推式干扰检测和译码的结构,能够由一个被干扰符号递推出其他被干扰符号,同时对软判决译码所需的干扰功率和噪声功率进行估算。仿真结果表明:该算法无需已知关于干扰和噪声的任何统计信息,就可在很大的干扰功率范围内达到接近最大似然译码的性能。
The narrow band interference in cognitive OFDM system produced by the licensed narrow bandsystem was studied. An algorithm called recursive interference detection and decoding of the narrow-band interference was proposed. The algorithm conceived a novel recursive interference detection and decoding structure which could deduce other jammed symbols from one symbol, and estimated the power of interference and noise at the same time. The simulation results show that the proposed algorithm can reach the performance of the Maximum Likelihood decoding in a wide interference power extent without knowing any statistic knowledge about interference and noise.
出处
《解放军理工大学学报（自然科学版）》
EI
2008年第6期646-650,共5页
Journal of PLA University of Science and Technology(Natural Science Edition)
基金
国家863计划资助项目(2007AA01Z267)
国家973计划资助项目(2009CB3020402)
关键词
认知无线电
OFDM
窄带干扰
维特比译码
最大似然译码
cognitive radio
OFDM
narrow band interference
Viterbi decoding
maximum likelihood decoding
