电子与信息学报
電子與信息學報
전자여신식학보
JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY
2009年
7期
1624-1629
,共6页
盲分离%BPSK信号%源数估计%混叠矩阵%初等变换
盲分離%BPSK信號%源數估計%混疊矩陣%初等變換
맹분리%BPSK신호%원수고계%혼첩구진%초등변환
Blind separation%BPSK signals%Source number estimation%Mixed matrix%Primary transformation
目前盲分离研究已有算法众多,但有关数字信号或有限字符集的盲分离研究尚不多见,而带源个数估计的此类盲分离算法更鲜有涉及.针对这类问题,该文提出了一种新颖的BPSK数字信号的盲分离算法,首先由接收到的观测信号的特征,在无噪和有噪情况下分别给出了估计源信号的数目算法;然后再利用观测信号之间的关系估计出混叠矩阵,并在算法中给出了证明.通过估计的混叠矩阵即可恢复得到分离信号,此时得到的分离信号与源信号或者顺序发生了交换,或者产生了符号之间的差别,但并不影响盲分离.最后的仿真结果显示了该文提出的算法在估计混叠矩阵以及最后恢复源信号上都是非常成功,也表明了此算法的可行性和优异性能.
目前盲分離研究已有算法衆多,但有關數字信號或有限字符集的盲分離研究尚不多見,而帶源箇數估計的此類盲分離算法更鮮有涉及.針對這類問題,該文提齣瞭一種新穎的BPSK數字信號的盲分離算法,首先由接收到的觀測信號的特徵,在無譟和有譟情況下分彆給齣瞭估計源信號的數目算法;然後再利用觀測信號之間的關繫估計齣混疊矩陣,併在算法中給齣瞭證明.通過估計的混疊矩陣即可恢複得到分離信號,此時得到的分離信號與源信號或者順序髮生瞭交換,或者產生瞭符號之間的差彆,但併不影響盲分離.最後的倣真結果顯示瞭該文提齣的算法在估計混疊矩陣以及最後恢複源信號上都是非常成功,也錶明瞭此算法的可行性和優異性能.
목전맹분리연구이유산법음다,단유관수자신호혹유한자부집적맹분리연구상불다견,이대원개수고계적차류맹분리산법경선유섭급.침대저류문제,해문제출료일충신영적BPSK수자신호적맹분리산법,수선유접수도적관측신호적특정,재무조화유조정황하분별급출료고계원신호적수목산법;연후재이용관측신호지간적관계고계출혼첩구진,병재산법중급출료증명.통과고계적혼첩구진즉가회복득도분리신호,차시득도적분리신호여원신호혹자순서발생료교환,혹자산생료부호지간적차별,단병불영향맹분리.최후적방진결과현시료해문제출적산법재고계혼첩구진이급최후회복원신호상도시비상성공,야표명료차산법적가행성화우이성능.
At present, there exist a lot of algorithms of blind separation, among which there are few algorithms focusing on blind separation of digital signals and estimating source number. To solve the problem, this paper proposes a novel algorithm to solve the blind separation problem of BPSK signals. First, according to characteristics of observations, the algorithm to estimate the source number is given in noise circumstance and no noise circumstance. Second, mixing matrix is gotten by using the relation of observations, which is also proved feasible. Finally, the source signals are recovered by permutations and sign changes of their rows, which are allowed in blind separation. It is well shown that the algorithms are excellent and feasible to estimate the mixed matrix and recover source in the last simulation.