初相未知信号联合检测与估计的序贯实现  

Sequential implementation for joint detection and estimation of signal known except for phase

作　　者：幸高翔[1] 蔡志明[1] 

机构地区：[1]海军工程大学电子工程学院,湖北武汉430033

出　　处：《海军工程大学学报》2005年第2期4-7,共4页Journal of Naval University of Engineering

基　　金：国家安全重大基础研究资助项目

摘　　要：在未知参数的充分统计量和再生概率密度函数的基础上,引入了联合检测与估计的序贯算法,给出了算法的实现框图,并将该算法应用于高斯噪声中初相位未知信号的联合检测与估计当中.仿真实验表明,新算法较传统算法有一定的性能改善.The paper introduces the sequential algorithm for joint detection and estimation on the basis of sufficient statistics and reproducing probability density function. The new algorithm is used in the case of joint detection and estimation of signal known except for phase in Gaussian noise, which is a classific problem in radar or active sonar. The simulation results show that the new algorithm per- forms better than the traditional ones.

关 键 词：弱信号检测 联合检测与估计 充分统计量 再生(共轭)概率密度函数 序贯检测 

分 类 号：TN911[电子电信—通信与信息系统]