稀疏控制比例仿射投影算法的正则化参数设计

Regularization Parameter Design of Sparseness-Controlled Proportionate Affine Projection Algorithm

针对稀疏控制比例仿射投影算法收敛速度和稳态失调之间的矛盾及正则化参数最优值难以确定的问题,通过迫使后验误差功率等于系统噪声功率,提出一种正则化参数随噪声功率大小进行自适应调节的稀疏控制比例仿射投影算法。算法解决稀疏控制比例仿射投影算法中正则化参数最优值的选取问题及快速收敛和稳态失调之间的矛盾。仿真结果验证所提算法的有效性。

In various noise environments, the regularization parameter of the sparseness-controlled improved proportionate affine projection algo- rithms is difficu｜t to be determined. To address the problem, proposes a variable regularization adaptive filtering algorithm by setting the component of the posterior error energy vector to equal that of the noise variance, termed VR- SC-IPAPA. The computer simulation re- suits verify that the proposed algorithm with a negligible additional computational cost can solve the problem of trade-off between conver- gence rate and steady-state misalignment and improve the performance of the SC-IPAPA.