基于缺失数据模型的长码直扩信号的伪码估计  

Spreading Waveform Estimation of Long-Code DS-SS Signals Based on Missing-Data Model

作　　者：牟青[1] 魏平[1] 

机构地区：[1]电子科技大学电子工程学院,四川成都611731

出　　处：《电子学报》2010年第10期2365-2369,共5页Acta Electronica Sinica

摘　　要：在信号截获应用背景下,提出了一种新的缺失数据模型用于长码直扩信号的盲同步和伪码估计.在同步环节中,传统短码同步算法Frobenius范数最大法被扩展至缺失数据模型并验证了渐进有效性;在伪码估计环节,提出了一种低计算复杂度的用于加权低秩逼近的交替投影算法.由于本文提出的方法能够直接利用接收数据,而不仅仅是它的自相关矩阵,仿真表明其性能明显好于传统的只依赖自相关矩阵的算法,特别是在短数据场合.In the context of signal interception applications,a novel model based on missing-data model is proposed to the blind synchronization and the estimation of the spreading waveform for the long code Direct Sequence Spreading Spectrum（DS-SS） signals.In the blind synchronization step,the Frobenius norm maximization algorithm,a classic blind synchronization method used in short code DS-SS signals,is extended to our missing-data model and its asymptotic efficiency is verified; in the step of spreading waveform estimation,an alternative projection（AP） algorithm with low computational complexity used to weighted low-rank approximation（WLRA） is proposed.Based on the missing-data model,the proposed method can directly exploit the received data.Therefore,significant performance improvement is observed in simulations,especially under the scenarios with short data length,than other existing approaches,which only exploit the auto-correlation matrix of the received data and lead to obvious performance loss.

关 键 词：信号截获 盲同步 伪码波形估计 缺失数据模型 加权低秩逼近 

分 类 号：TN911[电子电信—通信与信息系统]