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- Title
MIMO 系统中的非常数模半盲均衡方案.
- Authors
肖可馨; 李 晖; 周又玲; 王 萍; 林志阳
- Abstract
In multiple-input multiple-output (MIMO) wireless communication, factors such as channel fading, random noise, spatial multipath effect, and co-channel interference can produce inter-symbol interference (ISI), which causes serious signal distortion in the receiving terminal. In order to improve the transmission performance in a MIMO system, effectively reduce the phase distortion in the channel, an improved semi-blind equalization scheme of Non-constant Modulus Algorithm (NCMA) is proposed. This scheme combines the prior knowledge of the MIMO channel, presets the initial value of the semi-blind equalizer, uses variable step-size to iterate and update the weight coefficients of the equalizer, and finds the minimum objective function value. The simulation results show that the improved algorithm can reduce the residual steady-state error, accelerate the convergence speed, and improve the channel equalization effect by controlling the variable step-size.
- Subjects
MIMO systems; CO-channel interference; WIRELESS communications; PRIOR learning; ALGORITHMS
- Publication
Telecommunication Engineering, 2022, Vol 62, Issue 9, p1328
- ISSN
1001-893X
- Publication type
Article
- DOI
10.3969/j.issn.1001-893x.2022.09.019