信号处理
信號處理
신호처리
SIGNAL PROCESSING
2014年
11期
1321-1328
,共8页
信号处理%单通道盲分离%贝叶斯估计%马尔可夫链蒙特卡罗
信號處理%單通道盲分離%貝葉斯估計%馬爾可伕鏈矇特卡囉
신호처리%단통도맹분리%패협사고계%마이가부련몽특잡라
signal processing%blind separation%bayesian estimation%Markov Chain Monte Carlo
本文根据单通道接收两路MPSK混合信号在过采样下的基本模型,针对粒子滤波算法在单通道信号盲分离中的性能瓶颈以及高复杂度问题,提出了基于MCMC方法的新算法。该算法对接收信号进行过采样处理,能够利用更多的波形信息,从而有效抑制噪声的影响。新算法利用Gibbs采样估计MPSK调制符号的后验概率,近似实现了贝叶斯最优估计,并利用最小二乘法实现参数的迭代估计。理论分析与仿真实验表明,相对粒子滤波算法,本文提出的新算法在误码率性能以及复杂度方面具有良好的表现。
本文根據單通道接收兩路MPSK混閤信號在過採樣下的基本模型,針對粒子濾波算法在單通道信號盲分離中的性能瓶頸以及高複雜度問題,提齣瞭基于MCMC方法的新算法。該算法對接收信號進行過採樣處理,能夠利用更多的波形信息,從而有效抑製譟聲的影響。新算法利用Gibbs採樣估計MPSK調製符號的後驗概率,近似實現瞭貝葉斯最優估計,併利用最小二乘法實現參數的迭代估計。理論分析與倣真實驗錶明,相對粒子濾波算法,本文提齣的新算法在誤碼率性能以及複雜度方麵具有良好的錶現。
본문근거단통도접수량로MPSK혼합신호재과채양하적기본모형,침대입자려파산법재단통도신호맹분리중적성능병경이급고복잡도문제,제출료기우MCMC방법적신산법。해산법대접수신호진행과채양처리,능구이용경다적파형신식,종이유효억제조성적영향。신산법이용Gibbs채양고계MPSK조제부호적후험개솔,근사실현료패협사최우고계,병이용최소이승법실현삼수적질대고계。이론분석여방진실험표명,상대입자려파산법,본문제출적신산법재오마솔성능이급복잡도방면구유량호적표현。
In order to cope with the performance bottleneck and the time complexity of particle filters algorithm for the blind separation of two MPSK mixture signals obtained by a single channel receiver,a novel algorithm based on Markov Chain Monte Carlo (MCMC)method is established which is based on the over-sampling signal model.By using over-sam-pling of the received signal,more information of waveform is utilized,so noise suppression is more effective.In the new al-gorithm the Gibbs sampling method is used to estimate the posterior probabilities of the symbols modulated in MPSK,so that the optimized Bayesian estimation can be obtained approximately.Furthermore,the unknown parameters in the signal model are iteratively estimated by the least Squares (LS)method.Theoretical analysis and the simulation results show the good performance and low complexity of the new algorithm.