武汉理工大学学报(信息与管理工程版)
武漢理工大學學報(信息與管理工程版)
무한리공대학학보(신식여관리공정판)
JOURNAL OF WUHAN AUTOMOTIVE POLYTECHNIC UNIVERSITY
2015年
3期
264-268
,共5页
非高斯噪声%盲检测%有限混合高斯模型%马尔可夫链蒙特卡罗算法
非高斯譟聲%盲檢測%有限混閤高斯模型%馬爾可伕鏈矇特卡囉算法
비고사조성%맹검측%유한혼합고사모형%마이가부련몽특잡라산법
non-Gaussian noise%blind detection%finite mixture Gaussian model%Markov Chain Monte Carlo
针对实际甚低频和超低频接收机受非高斯噪声影响的问题,采用有限混合高斯噪声模型,建立了信号检测模型,并设计了一种基于马尔可夫链蒙特卡罗方法的信号盲检测算法。盲检测算法在贝叶斯层次模型下,采用Gibbs抽样更新参数,同步检测信道衰落系数、噪声模型参数和信号,该算法迭代速度快、精度高。通过与理论误码率性能比较,盲检测算法性能优异,对甚低频和超低频信号接收具有重要的现实意义。
針對實際甚低頻和超低頻接收機受非高斯譟聲影響的問題,採用有限混閤高斯譟聲模型,建立瞭信號檢測模型,併設計瞭一種基于馬爾可伕鏈矇特卡囉方法的信號盲檢測算法。盲檢測算法在貝葉斯層次模型下,採用Gibbs抽樣更新參數,同步檢測信道衰落繫數、譟聲模型參數和信號,該算法迭代速度快、精度高。通過與理論誤碼率性能比較,盲檢測算法性能優異,對甚低頻和超低頻信號接收具有重要的現實意義。
침대실제심저빈화초저빈접수궤수비고사조성영향적문제,채용유한혼합고사조성모형,건립료신호검측모형,병설계료일충기우마이가부련몽특잡라방법적신호맹검측산법。맹검측산법재패협사층차모형하,채용Gibbs추양경신삼수,동보검측신도쇠락계수、조성모형삼수화신호,해산법질대속도쾌、정도고。통과여이론오마솔성능비교,맹검측산법성능우이,대심저빈화초저빈신호접수구유중요적현실의의。
Considering receiver in very low frequency (VLF) and super low frequency (SLF) communication system is af-fected by the non-Gaussian noise , a signal detection model with the finite mixture Gaussian noise model was proposed .A blind detection algorithm based on Markov Chain Monte Carlo ( MCMC) algorithm was designed .The blind detection algorithm can de-tect the channel fading coefficient , parameters of noise model , and signals at the same time through Gibbs sampler , which was based on Bayesian hierarchical model .The algorithm has a high iterative efficiency and precision .The results suggest that the er-ror rate of the proposed blind detection algorithm is as well as the theoretical error rate and can be excellently applied in practice .