CAJ | 학술논문

提出了一种新的无约束盲均衡准则。该准则基于两种向量范数之间差值的最小化，不需要对均衡器系数进行约束，可采用批数据处理和在线自适应迭代两种方式实现。通过对代价函数收敛性定理的推导，证明了在无噪声情况下，在代价函数的每个局部最优解处可实现理想均衡，且能够实现发送信号幅值的恢复。仿真结果验证了新算法在收敛性和稳态误差方面的良好性能。
제출료일충신적무약속맹균형준칙。해준칙기우량충향량범수지간차치적최소화，불수요대균형기계수진행약속，가채용비수거처리화재선자괄응질대량충방식실현。통과대대개함수수렴성정리적추도，증명료재무조성정황하，재대개함수적매개국부최우해처가실현이상균형，차능구실현발송신호폭치적회복。방진결과험증료신산법재수렴성화은태오차방면적량호성능。
A novel unconstrained criterion for blind equalization is proposed.The algorithm is based on minimization of the difference between two norms,and does not need to impose any constraint on the equalizer coefficients,which can be realized by the batch processing method and online adaptive approach. Based on the convergence proof under the noiseless condition,we show that a perfect equalization solution is achieved at every local optimum of the function,and that the amplitude of the input signal can be recovered. The validity and good performance in terms of convergence and the steady-state error of the proposed algorithm are verified through computer simulations.