基于重采样的分布式接收合成算法

针对分布式接收中合成信号的问题，提出了一种基于重采样的分布式接收合成算法。该方法首先利用重采样对输入不同的信噪比进行索引，去除低的信噪比值，复制高的信噪比值，提高输入的信噪比值；然后利用SUMPLE算法估计权值，并完成信号的合成，提高合成算法的性能。仿真结果表明，在分布式接收中，当输入不同的信噪比时，利用基于重采样的分布式合成算法提高了合成增益，在与原算法相近的合成损失下提高了收敛速度。

A distributed receiving synthesis algorithm based on resampling

For the problem of signal synthesis in distributed receiving,a distributed receiving synthesis algorithm based on resampling is proposed.This method uses resampling to index different input signal-to-noise ratios(SNRs),remove the low one,copy the high one and improve the input SNR.Then,the SUMPLE algorithm is used to estimate the weight and complete the signal synthesis to improve the performance of the synthesis algorithm.The simulation results show that in distributed reception,when different SNRs are input,the distributed synthesis algorithm based on resampling improves the synthesis gain and the convergence speed under almost the synthesis loss of original algorithm.