摘要
本文利用循环统计量检测循环平稳性的特性,将渐近最优2χ检验方法推广到直扩信号的盲检测,提出了一种基于循环统计量的直扩信号检测方案;理论上推导了直扩信号二阶循环统计量的表达式,分析了时间间隔的选取对从二阶循环统计量估计循环频率的影响,据此提出了基于循环统计量的直扩信号载频和chip速率等参数的估计新方法.该方法避免了多维搜索,且不需要信号的伪码序列和各频率参数等先验信息,可实现信号的“盲”检测和“盲”参数估计.仿真实验证明了本文方法的有效性.
A cyclic-cumulant based DS-SS （Direct Sequence Spread Spectrum） signal detection scheme is developed by extending the asymptotically optimal chi-squared test for cyclostationarity to DS-SS signal detection. The explicit formula of the second-order cyclic-cumulant is derived, and the influence of time interval on the cycle-frequency estimation from the cyclic-cumulant is analyzed. On the base of this, a new cyclic-cumulant based DS-SS signal parame- ter estimation method is proposed, which can perform blind detection and blind parameter estimation without a priori knowledge of pseudorandom sequence and frequency parameters. Moreover, the method also avoids multi-dimensional searching in parameter estimation. Simulation results have proved the validity of the method.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2006年第4期634-637,共4页
Acta Electronica Sinica
基金
国家部委预研基金(No.41101050108)
关键词
直扩信号
检测
参数估计
循环统计量
循环平稳
direct sequence spread spectrum signal
detection
parameter estimation
cyclic-cumulant
cyclostationarity
