把智能天线技术和光纤无线电技术相结合,针对光纤中传输的无线电信号许多是具有谱自相干特性的循环平稳信号,提出了非线性约束条件下的优化自适应波束形成算法。通过对R—CAB算法的权向量进行二次优化,调整了R—CAB算法方向图零陷的位置和深度,改善了输出SINR。并且改进算法的输出SINR对导引向量随机误差具有稳健性,对期望信号的功率变化表现出不敏感的特性。理论分析与计算机仿真试验都证明了算法的有效性。
A blind beamforming algorithm based on radio over fibre is presented to optimize the position and the depth of null. The weight vectors of R-CAB algorithm was modified. To improve the robust characteristics, nonlinear constraint method was used to optimize the weight vector of adaptive pattern. The final solution of weight vector is different from alterably diagonal loading and the unknown parameter in optimal solution can be obtained easily and accurately. The SINR(signal to interference plus noise ratio) of the new algorithm has robust characteristics for random steering vector errors and is not sensitive to power change of SOI(signal of interest). Simulation result proves the validity of the new algorithm.