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机构地区:[1]海军航空工程学院电子信息工程系,山东烟台264001 [2]海军航空工程学院研究生管理大队,山东烟台264001
出 处:《通信学报》2011年第6期32-37,共6页Journal on Communications
基 金:泰山学者建设专项基金资助项目~~
摘 要:在GMSK信号线性近似的基础上,提出一种GMSK混合信号时延的并行估计算法。利用过采样混合信号的自相关函数建立平坦衰落条件下GMSK混合信号时延参数的并行估计方程组,并推导了并行时延估计的克拉美劳界。针对估计方程组中GMSK成型滤波器的复杂非线性特性,采用多项式拟合方法进行简化并利用收敛速度较快的梯度下降法进行数值求解。仿真结果表明该算法对GMSK混合信号时延参数的估计较准确,其估计误差方差与时延估计性能的克拉美劳界较为接近。该时延并行估计算法具有不需要前导字、计算量较小的优点,为混合信号的进一步盲处理打下基础,具有实际意义。Parallel time-delay estimation algorithm was proposed for GMSK mixing signals based on linear approximation approach. Parallel estimation equations were built in flat-fading channel according to autocorrelation of over-sampling based mixing signals and then Cramer-Rao bound for parallel time-delay estimation was deduced. Polynomial fitting method was uesed to simplifying nonlinear complexity of GMSK shaping filter and estimation equations were resolved numerically by gradient descent algorithm with fast convergence. Simulation results show that its estimating performance is good and the variance of estimation error is close to Cramer-Rao bound. As a non-preamble aided algorithm with lower complexity it is significant for the next blind processing.
关 键 词:GMSK信号 并行时延估计 平坦衰落信道 CRAMER-RAO界
分 类 号:TN914[电子电信—通信与信息系统]
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