Xiaoli Jing, Xianpeng Wang*, Xiang Lan, Ting Su
CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.2, pp. 1789-1804, 2023, DOI:10.32604/cmes.2023.028477
Abstract At present, the traditional channel estimation algorithms have the disadvantages of over-reliance on initial conditions and high complexity. The bacterial foraging optimization (BFO)-based algorithm has been applied in wireless
communication and signal processing because of its simple operation and strong self-organization ability. But the
BFO-based algorithm is easy to fall into local optimum. Therefore, this paper proposes the quantum bacterial
foraging optimization (QBFO)-binary orthogonal matching pursuit (BOMP) channel estimation algorithm to the
problem of local optimization. Firstly, the binary matrix is constructed according to whether atoms are selected
or not. And the support set of the sparse signal is recovered… More >
Login
Register
