دانلود Adaptive beamforming algorithm for interference suppression based on partition PSO Sign In or Purchase

Abstract

A novel adaptive beamforming algorithm for interference suppression based on Partition particle swarm optimization (PPSO) is presented. Firstly, the search phase space is  divided  into  several  parts,  which  makes  it  more  suitable  for parallel  realization.  Secondly,  for  each  partition,  a  sub-swarm multidimensional  particle  is  used  to  present  weight  vectors.  It  is updated by PSO to search the optimal solution. Finally, for each iteration,  a  whole-space  global  optimal  solution,  achieved  by  the  minimum  square  error  criterion,  is  achieved  from  all  sub-space global  optimal  values  of  the  sub-swarms.  Our  simulation  results show that the proposed algorithm performs better than the traditional schemes both in convergence speed and the capability of avoiding local optima, and it is much more suitable for parallel realization.