基于信噪比估计的极化分集软件合成研究  

Software Polarization Diversity Synthesizer Based on SNR Estimation

作　　者：张东[1] 郑海昕[1] 顾祥龙[1] 

机构地区：[1]中国人民解放军装备学院,北京101416

出　　处：《无线电工程》2013年第9期51-53,共3页Radio Engineering

摘　　要：航天器经过等离子黑障时,下行信号衰减大、质量差,为了更好地利用数据,可以采用软件的迭代算法对基带数据进行事后处理。处理过程中需要极化分集合成技术来合成信号。软件极化分集合成采用基于子空间矩阵分解的信噪比估计方法,提出一种基于信噪比估计的最大比合成算法,实现了2路数据的合成。仿真结果表明,在信号信噪比低于10 dB的情况下,合成信号最高可以提高2.5 dB以上的增益(理论值为3 dB)。论证了软件极化分集合成的可行性和有效性。When spacecraft passing plasma blackout,downlink signal encounters large attenuation and poor signal quality. Iterative algorithm of the software can be used for post-processing of the baseband data in order to make better use of data. The process requires polarization signal diversity reception synthesized. Software polarization diversity receiver using subspace-based matrix decomposition SNR estimation method is proposed based SNR estimation algorithm of maximum ratio combining diversity combining of the two-way data. The simulation shows that,in the case of the signal to noise ratio is less than 10 dB,the synthesized signal can be increased to a maximum of 2.5 dB gain. The feasibility and effectiveness of software polarization diversity reception is also justified.

关 键 词：信噪比估计 极化分集接收 最大比合并 子空间矩阵分解 软件化 

分 类 号：TN911.72[电子电信—通信与信息系统]