无源互调干扰的二维时延自适应估计算法

The Adaptive Two-Dimensional Time Delay Estimation Algorithm of Passive Intermodulation Interference

  • 摘要: 针对影响通信接收机性能的时变性无源互调干扰问题,采用幂级数模型对无源互调干扰进行建模,从工程的角度给出了基于二分法、快速二分法和并行法的3种二维时延自适应估计算法,并对其性能进行了对比.仿真表明3种搜索算法经过不同次数的迭代后,均可估得二维时延值.其中,基于快速二分法的估计算法能以相对较低的资源消耗量获得较快的跟踪速度,更适合硬件实现.实测表明,原理样机采用基于快速二分法的二维时延估计算法,可对PIM信号实现更好的估计效果,补偿后的信号经自适应滤波可获得良好的性能.

     

    Abstract: Due to the effect of time-varying passive intermodulation on the performance of communication receivers, the passive intermodulation interference was modeled based on power series. Three adaptive two-dimensional time delay estimation algorithms were proposed according to the practical engineering application. The time delay estimation implementation methods of binary search, fast binary search and parallel search were described, simulated and compared. The simulation results indicate that all the three search methods can work after different iterative learnings. Among them, the two-dimensional time delay estimation algorithm based on fast binary search is more suitable for hardware implementation with less resource and faster tracing speed. The experimental results show that, the prototype with the two-dimensional time delay estimation algorithm based on fast binary search can estimate the two-dimensional time delays accurately and achieve a good performance.

     

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