首页> 外文期刊>Communications Letters, IEEE >Oversampled M-sequences for joint data and bit epoch estimation in DSSS transmissions
【24h】

Oversampled M-sequences for joint data and bit epoch estimation in DSSS transmissions

机译:DSSS传输中用于联合数据和位历元估计的过采样M序列

获取原文
获取原文并翻译 | 示例
           

摘要

The Maximum Likelihood (ML) estimator for the bit synchronization epoch and data bit values in Direct-Sequence Spread-Spectrum (DSSS) transmission consists of determining the binary sequence that maximizes the correlation with the recovered data samples. This requires the exhaustive test of all sequences generated by the different bit combinations and alignments, resulting in a computationally intensive process. In this letter, the properties of maximum length sequences (msequences) are exploited for testing all the bit combinations and alignments in parallel, leading to a computationally efficient implementation of theML estimator. The case where the data bits are modulated by an overlay or secondary code is also considered and the proposed algorithm is generalized to include the effect of this additional modulation.
机译:直接序列扩频(DSSS)传输中的位同步时期和数据位值的最大似然(ML)估计器包括确定使与恢复的数据样本相关性最大化的二进制序列。这需要对由不同的位组合和比对生成的所有序列进行详尽的测试,从而导致计算量大的过程。在这封信中,利用最大长度序列(ms序列)的属性来并行测试所有位组合和对齐方式,从而实现了ML估计器的高效计算实现。还考虑了通过覆盖码或辅助码来调制数据位的情况,并且所提出的算法被概括为包括该附加调制的效果。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号