【摘要】 低信噪比信号检测 ,一直都是电子侦察领域关注的课题。本文提出了一种信号自相关检测算法。该算法利用随机噪声的不相关统计特性及信号的相关性 ,采用自相关算法使信号与噪声在时域中就能很好的区分开来 ,通过智能判断来确定信号的起始时刻。该算法具有实时性好、检测概率高的特点 ,性能优于传统的累加算法。本文还研究了统计量的概率分布 ,以此来确定检测门限、虚警概率之间的关系。为了进一步提高该算法的检测性能 ,采用了双门限判决处理方法。理论分析和计算机模拟结果表明这种算法切实可行。更多还原

【Abstract】 Signal detection under the condition of low signal-n oise ratio is a problem concerned by the field of electron reconnaissance. The a lgorithm for autocorrelation of signal in which we can detec t useful signal accurately and estimate the moments of signal arriving and endin g exactly. This algorithm has such features as real-time detection and high det ection probability. Its performance is better than that of the conventional accu mulation algorithm. The probability distribution of statistic and the relation between detection threshold and false probability are discusse d. The detection performance is improved by double thresholds. Simulationa l results confirm its availability.更多还原