National Key Research and Development Program of China-Government Corporation Special Program [2016YFE0111100]
; National Science Foundation of China [61571149]
; Science and Technology innovative Talents Foundation of Harbin [2016RAXXJ044]
; Projects for the Selected Returned Overseas Chinese Scholars of Heilongjiang Province
; Ministry of Human Resources and Social Security of the People's Republic of China (MOHRSS) of China
; Foundational Research Funds for the Central Universities [HEUCF160815, HEUCFD1433]
英文摘要:
In this paper, a sparse set-membership proportionate normalized least mean square (SM-PNLMS) algorithm integrated with a correntropy induced metric (CIM) penalty is proposed for acoustic channel estimation and echo cancellation. The CIM is used for constructing a new cost function within the kernel framework. The proposed CIM penalized SM-PNLMS (CIMSM-PNLMS) algorithm is derived and analyzed in detail. A desired zero attraction term is put forward in the updating equation of the proposed CIMSM-PNLMS algorithm to force the inactive coefficients to zero. The performance of the proposed CIMSM-PNLMS algorithm is investigated for estimating an underwater communication channel estimation and an echo channel. The obtained results demonstrate that the proposed CIMSM-PNLMS algorithm converges faster and provides a smaller estimation error in comparison with the NLMS, PNLMS, IPNLMS, SM-PNLMS and zero-attracting SM-PNLMS (ZASM-PNLMS) algorithms.
