Mixed Norm Constrained Sparse APA Algorithm for Satellite and Network Echo Channel Estimation | Zendy

Yingsong Li | Zendy; Zhengxiong Jiang | Zendy; Omer Mohammed Omer Osman | Zendy; Xiao Han | Zendy; Jingwei Yin | Zendy

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Mixed Norm Constrained Sparse APA Algorithm for Satellite and Network Echo Channel Estimation

Author(s) -

Yingsong Li,

Zhengxiong Jiang,

Omer Mohammed Omer Osman,

Xiao Han,

Jingwei Yin

Publication year - 2018

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2018.2878310

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

We propose an improved proportionate affine projection algorithm (PAPA), which is realized by integrating a hybrid-norm constraint into the affine projection algorithm (APA) to estimate the cluster sparse signals that are happened in satellite and network echo channels. The proposed algorithm optimizes the hybrid

${l_{2,0}}$

-norm of the filter coefficients, and the PAPA is a special case of the proposed method. Moreover, an enhanced PAPA is modified for the cluster sparse channel estimations. Various simulation experiments are performed to verify that the proposed algorithms are superior to the APA, PAPA, and related sparse algorithms with different input signals and various parameters.

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