CAJ | 학술논문

提出一种改进的基于阶段赋权非线性滚动预测的无线通信传输数据谐波平衡算法，将Volterra级数法、遗传算法以及拟牛顿算法相结合，通过采用阶段赋权非线性滚动控制策略，得到数据谐波主特征向量，实现采用细菌觅食算法的无线通信数据射频调制，避免了振荡数据的非线性特性产生谐波振荡，实现数据谐波平衡算法改进。实验结果表明，算法能有效降低无线通信数据射频调制的误码率，采用阶段赋权非线性滚动预测，提高了计算效率和精度，数据谐波平衡性能较好，在通信调制解调等领域中具有较好的应用价值。
제출일충개진적기우계단부권비선성곤동예측적무선통신전수수거해파평형산법，장Volterra급수법、유전산법이급의우돈산법상결합，통과채용계단부권비선성곤동공제책략，득도수거해파주특정향량，실현채용세균멱식산법적무선통신수거사빈조제，피면료진탕수거적비선성특성산생해파진탕，실현수거해파평형산법개진。실험결과표명，산법능유효강저무선통신수거사빈조제적오마솔，채용계단부권비선성곤동예측，제고료계산효솔화정도，수거해파평형성능교호，재통신조제해조등영역중구유교호적응용개치。
An improved harmonic balance algorithm of data is proposed based on phase weighted nonlinear rolling predic?tion , the Volterra series method genetic algorithm and quasi Newton algorithm are combined, through the use of phase weighted nonlinear rolling control strategy, data obtained from the harmonic main feature vector, the realization of wireless communications data radio frequency modulation is obtained using bacterial foraging algorithm, it avoids the nonlinear os?cillation data to generate harmonic oscillation, harmonic balance algorithm is improved to realize data. The experimental re?sults show that, the algorithm can effectively reduce the error rate of wireless communication data radio frequency modula?tion, the phase weighted nonlinear rolling forecast is obtained, it improves the computational efficiency and accuracy of the data, the harmonic balance performance is good, it has good application value in the field of communication modulation and demodulation.