| 摘要: |
| 为了降低分集信号合成时输入信号的信噪比要求，提出了一种分集信号的中频合成方法
。该方法利用最大似然估计和迭代算法，通过计算输出合成信号和输入分集信号的相关值获
得合成权值，在中频实现信号合成。仿真和实验结果表明，该方法放宽了输入信号信噪比要
高于解调捕获门限这一要求，能自动实现最大合成增益。 |
| 关键词: 深空探测 测控系统 分集合成 信噪比估计 最大似然估计 迭代算法 |
| DOI： |
|
| 基金项目: |
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| Full-spectrum Combining of Diversity Signals Based on Maximum Likelihood Weight Estimates |
| LIU Jing-yuan |
| (Southwest China Institute of Electronic Technology,Chengdu 610036,China) |
| Abstract: |
| A full-spectrum combining method for diversity signal is proposed to reduce the signal-to-noise ratio(SNR) requirement of input signal in combining. With Maximum Likelihood(ML) algorithm and iterative algorithm, combining weights
are obtained from correlations of recovery baseband signal and received full-spe
ctrum signals. Simulation results and practices demonstrate that the method can loosen the restriction that the diversity signals′ SNR must be gr
eater than the loop′s lock threshold, and can also get maximum combined gain automatically. |
| Key words: deep space exploration TT&C system combining of diversity signals SNR estimator maximum likelihood iterative algorithm |
《电讯技术》编辑部 