估值合成的时延对准算法

The Timedelay Alignment of Estimation Synthesis

  • 摘要: 时延对准问题一直是多天线信号合成系统中的一个重要问题,为了解决在低信噪比条件下时延对准性能差的问题,提出了一种基于估值合成的时延对准算法。该算法以各路信号时延的加权和作为固定参考中心,利用两两时差之间的相关性,对两两时差估计值进行加权合并,有效提高了时延对准性能。并从理论上分析了该算法的性能,理论分析及仿真实验均表明,随着天线数目的增加,算法性能逐渐提高,且在低信噪比条件下提升尤为明显。另外,本文提出算法的时延性能优于基于准合成参考的时延对准算法。

     

    Abstract: The timedelay alignment problem is always an important problem in the multiple antenna synthesis system. A timedelay alignment algorithm based on estimation synthesis was proposed, in order to solve the problem that timedelay alignment performance was poor at the low signaltonoise ratio (SNR) value. By taking the weighted sum of the initial timedelay of all the signals as a fixed reference center and making full use of the correlations of each estimated timedelay differences, the new algorithm improved the timedelay alignment performance. Then we analyzed and compared the performance between the proposed algorithm and the timedelay alignment algorithm based on quasi synthesis reference (TAQSR). The theory and simulation results indicate that the performance is improved gradually with the increase of number of antenna, especially in low SNR. n addition, the new algorithm has better performance than TAQSR.

     

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