BOC信号的伪码周期和组合码盲估计

发布时间：2018-05-05 00:11

本文选题：BOC信号 + 组合码　；参考：《电讯技术》2014年06期

【摘要】：针对在低信噪比下存在残余频偏的BOC(Binary-Offset-Carrier)调制信号的伪码周期以及组合码(扩频序列和副载波序列的组合)盲估计问题,提出了功率谱二次处理结合矩阵分解的方法。该方法首先对存在残余频偏调制的BOC信号进行二次功率谱运算,所得二次功率谱中会在伪码周期及整数倍出现尖锐的脉冲,通过检测峰值间的距离估计信号的伪码周期,然后对信号采样并按伪码周期分段构成数据向量,计算相关矩阵并进行奇异值分解,最后搜索最大和次大奇异值以及对应的向量估计出组合码序列。仿真分析表明,该方法能够在较大频偏和较低的信噪比下达到较精确的估计性能。相关研究对于从事卫星导航接收机设计的工程技术人员具有一定的参考价值。
[Abstract]:In order to solve the problem of pseudo-code period and blind estimation of combined code (combination of spread spectrum sequence and sub-carrier sequence) for BOCU Binary-Offset-Carrier modulation signal with low SNR, a method of power spectrum quadratic processing combined with matrix decomposition is proposed. In this method, the second power spectrum of the BOC signal with residual frequency offset modulation is first performed. In the obtained secondary power spectrum, sharp pulses appear in the pseudo-code period and integer times, and the pseudo-code period of the signal is estimated by detecting the distance between the peaks. Then the signal is sampled and the data vector is constructed according to the pseudo-code period. The correlation matrix is calculated and the singular value decomposition is carried out. Finally, the maximum and sub-large singular values and the corresponding vectors are searched to estimate the combined code sequence. The simulation results show that the proposed method can achieve more accurate estimation performance under higher frequency offset and lower signal-to-noise ratio (SNR). The related research has certain reference value for the engineers engaged in the design of satellite navigation receiver.
【作者单位】：重庆邮电大学信号与信息处理重庆市重点实验室;
【基金】：国家自然科学基金资助项目(61371164,61071196,61102131) 信号与信息处理重庆市重点实验室建设项目(CSTC2009CA2003) 重庆市杰出青年基金项目(CSTC2011JJJQ40002) 重庆市自然科学基金资助项目(CSTC2012JJA40008) 重庆市教育委员会科研项目(KJ120525,KJ130524)~~
【分类号】：TN911.3

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