CAJ | 학술논문

针对传统串行FastICA算法存在误差累积的缺点,该文提出一个多级结构的快速独立分量分析算法(MSFICA).该算法采用两级结构来消除误差累积.为了降低算法的计算复杂度,第1级采用一种维数不断降低的方法来得到分离向量的初始值.第2级利用第1级得到的初始值直接对白化后的观测信号进行处理,不需要进行正交投影.仿真结果表明,该文提出的算法在增加少量计算复杂度的情况下,成功消除了误差累积,并且比已有的消除误差累积的并行算法有更好的SINR性能和BER性能.
침대전통천행FastICA산법존재오차루적적결점,해문제출일개다급결구적쾌속독립분량분석산법(MSFICA).해산법채용량급결구래소제오차루적.위료강저산법적계산복잡도,제1급채용일충유수불단강저적방법래득도분리향량적초시치.제2급이용제1급득도적초시치직접대백화후적관측신호진행처리,불수요진행정교투영.방진결과표명,해문제출적산법재증가소량계산복잡도적정황하,성공소제료오차루적,병차비이유적소제오차루적적병행산법유경호적SINR성능화BER성능.
This paper proposes a Multi-Stage FastICA Algorithm(MSFICA) to solve the problem of error propagation in the traditional successive FastICA algorithm. MSFICA removes the error propagation effect through a two-stage structure. In order to reduce the computational complexity, a dimension decrease method is used to get the initial values of separating vectors in the first stage. In the second stage, the algorithm uses the initial values and whitened observed signals to separate original signals, and does not need orthogonal projection. Simulation results indicate that the proposed algorithm can eliminate error propagation successfully and achieve better performance than existing parallel FastICA algorithm at the expense of a slightly increased complexity.