基于遗传算法的多传感器自适应噪声抵消器

讨论了同一噪声源多传感信号的自适应噪声抵消器的设计方法·针对同一信号源的多传感信号,采用快速遗传算法获取多路信息融合器(LC)的权系数及自适应噪声抵消器的系数,克服了基于梯度的搜索算法和随机搜索等算法获取最优滤波器参数难的问题·利用遗传算法自适应调整LC的权系数,克服了采用并行噪声抵消器的输出平均作为估计信号时,可能造成估计误差太大的缺陷·仿真结果表明,该自适应噪声抵消器的设计方法,不仅实现简单、运行时间短,而且充分利用了多传感信号的信息,其去噪效果良好·

Genetic Algorithm Approach to Optimal Adaptive Noise Cancellation for Multi-sensory Signals

A fast adaptive algorithm for noise cancellation using multi-sensory signal recordings of the same noise source was described. In order to avoid the trap of local minima, a design method based on the genetic algorithm was introduced to treat the nonlinear optimization of the fixed-order optimal adaptive noise cancellation. The designed method utilized genetic algorithm to adjust the weights of linear combiner(LC) of multi-sensor signals adaptively and reduced the large estimated error of the averaging method of all sensor signals. The design method can obtain simplicity of implementation, conservation of operation time and better reconstruction performance by fully utilizing multi-sensor signals.