【作者】 刘建新； 韩宇； 向敬成；

【Author】 Liu Jian Xin~* Han Yu~* Xiang Jing Cheng~(**) (* Institute of Electronic Engineering,China Academy of Engineering Physicals) (**College of Electronic Engineering,University of Electronic Science & Technology of China)

【机构】 中国工程物理研究院电子工程研究所； 电子科技大学电子工程学院；

【摘要】 本文在分析典型二进制积累检测特性的基础上,提出一种基于距离扩展目标的分组式二进制积累检测算法。并采用马尔可夫链的分析方法来分析其检测性能。该分析方法避免了传统分析方法中复杂二项式分布概率计算,并且具有简单、有效的特点,尤其是在第二门限确定的情况下。该性能评估算法与传统的二项式分布评估算法相比,其信噪比相差最大不足0.1dB。最后给出了该算法实际应用例子以及在目标回波脉冲信号不起伏、快起伏、慢起伏三种情况下的检测特性曲线。更多还原

【Abstract】 This article,first,analyses the performances of typical binary integration detectors ,then,provides a binary integration detection of range extended target by blocks.The detection performance of this detection method is analyzed as a Markov chain with M+1 states.The method is convenient,especially,in condition of deterministic second threshold.Simultaneously,complex computation of binomial probability distribution is avoided,however,nearly the same performance analysis results can be got as using binomial distribution method.In the end of the article,the detection performance curves of a radar altimeter based on this algorithm is presented for non-fluctuation,SwerlingⅠand SwerlingⅡtargets returns.更多还原