天线阵CDMA系统中基于神经网络的盲空时信道估计

Neural network based blind space time channel estimation in antenna array CDMA systems

提出了天线阵 CDMA系统中盲空时信道估计的约束优化神经网络模型 ,对其全局收敛性进行了分析 ,并对其性能进行了数值模拟。

One approach for increase of spectrum efficiency in digital cellular is the use of spread spectrum CDMA technology. Another approach that shows real promise for substantial capacity enhancement is the use of spatial processing with antenna array. Adaptive antenna array can steer the beam towards the desired user and mitigate interference from other users. Constrained optimization model for blind space time channel estimation in antenna array CDMA systems was proposed in this paper. The complex optimization model was transformed into real one and the equivalence was proved. Then, the neural network implementation of the model was presented for real time parallel processing. The global convergence of the network was analyzed and the performance was simulated by computer.