摘要
为了克服传统BOC捕获算法在处理相互冲突的多个性能指标方面的不足,基于单元相关输出二次组合概念提出了一种系统最优化的算法设计框架.先将各项性能指标转化为控制参数的确定函数,再将BOC捕获问题转换为参数优化问题.基于该算法框架给出了具体的BOC无模糊捕获算法设计实例.仿真结果表明:该算法能够完全抑制组合相关函数副峰,有效解决BOC捕获模糊问题,并且在判决统计量的输出信噪比和恒虚警下检测概率2个指标上取得良好的效果,具有工程实用价值.
In order to overcome the defects of the traditional unambiguous binary offset carrier (BOC) signal acquisition techniques in dealing with a number of conflicted performance indicators, a systematic and optimized algorithm framework was proposed for the unambiguous BOC signal acquisition problem. This algorithm framework based on proper quadric combination of basic correlators, with the ability of balancing several important but conflicting performance criterions, such as side peak suppression performance and signal noise ratio (SNR) degradation performance. And then a well-de- signed algorithm example was presented to solve the ambiguous acquisition problem. Theoretical and simulation results show that the proposed algorithm example can completely remove all of the undesired side peaks, with the expenses of acceptable SNR degradation, which conclude to practical value.
出处
《华中科技大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2011年第6期30-35,共6页
Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金
中国科学院开放基金资助项目(20009PNTT06)
中国卫星导航学术年会资助项目(CSNC2010-QY-007)
关键词
全球定位系统
优化
性能
二进制偏移子载波
无模糊捕获
二次型
global positioning system
optimization
performance
binary offset carrier
unambiguous acquisition
quadratic form