Systems Engineering and Electronics ›› 2022, Vol. 44 ›› Issue (2): 434-439.doi: 10.12305/j.issn.1001-506X.2022.02.10

• Electronic Technology • Previous Articles     Next Articles

Application of fast convergent affine projection algorithm in sparse underwater acoustic channels

Xiaoling NING, Jijin TONG, Linsen ZHANG*, Yasong LUO, Han CHENG   

  1. Institute of Weaponry Engineering, Naval University of Engineering, Wuhan 430033, China
  • Received:2021-03-05 Online:2022-02-18 Published:2022-02-24
  • Contact: Linsen ZHANG

Abstract:

A new fast convergent proportional affine projection algorithm is proposed and applied to sparse multipath underwater acoustic channel equalization in this paper. The variable step size algorithm is introduced to improve the convergence speed of the algorithm based on the improved proportional affine projection algorithm (IPAPA), and the decision feedback structure is introduced to improve the steady-state error after convergence. The convergence performance of the algorithm is simulated by quadrature phase shift keying and 16 quadrature amplitude modulation modulation in two typical sparse multipath underwater acoustic channels. The simulation analyzes the influence of the range of parameters about γ, η, ζ in variable step size algorithm on the convergence performance of the algorithm, compares the performance of variable step size proportional projection algorithm with least mean square algorithm and recursive least square (RLS) algorithm, as well as the convergence performance of each algorithm based on decision feedback equalization (DFE) structure. The simulation results show that the convergence performance of the new algorithm is better than that of IPAPA algorithm, and is equivalent to that of RLS, and the convergence trend of each algorithm based on DFE structure is the same as them.

Key words: affine projection algorithm (APA), convergence speed, steady-state error, channel equalization, sparse multipath underwater acoustic channel

CLC Number: 

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