CAJ | 학술논문

复值非高斯最大化盲源分离算法的收敛速度,受其采用的反双曲正弦函数计算复杂度的影响较大,针对这一问题,提出了一种收敛速度更快的改进型复值非高斯最大化算法.该算法采用一个低计算复杂度的非线性函数替代原算法中的反双曲正弦函数.该函数的计算复杂度是反双曲正弦函数的三分之一.在相同条件下,基于该非线性函数的复值非高斯最大化盲源分离算法的收敛速度相比原算法提高了1倍左右,更适合于对接收信号进行实时处理,而且信号分离误差小,同时该算法同样适用于任意非高斯的常态和非常态信源.仿真试验验证了算法的有效性.
복치비고사최대화맹원분리산법적수렴속도,수기채용적반쌍곡정현함수계산복잡도적영향교대,침대저일문제,제출료일충수렴속도경쾌적개진형복치비고사최대화산법.해산법채용일개저계산복잡도적비선성함수체대원산법중적반쌍곡정현함수.해함수적계산복잡도시반쌍곡정현함수적삼분지일.재상동조건하,기우해비선성함수적복치비고사최대화맹원분리산법적수렴속도상비원산법제고료1배좌우,경괄합우대접수신호진행실시처리,이차신호분리오차소,동시해산법동양괄용우임의비고사적상태화비상태신원.방진시험험증료산법적유효성.
Due to higher computational complexity of anthyperbolic function, that was used in complex maximization of nongaussianity algorithm, influenced convergence speed of algorithm, the fast complex maximization of nongaussi-anity algorithm that based a new lower computational complexity nonlinear function was proposed. Computational complexity of the new function is about third of anthyperbolic function. In the same condition, the convergence speed of fast maximization of nongaussianity algorithm that based on the new nonlinear function was half of maximization of non-gaussianity algorithm, so it is more suitable for dealing the received signals in time. The algorithm had smaller error and could apply to any proper and improper sources. Simulation proved efficiency and correctness of the algorithm.