一种基于信息融合的累积双门限检测技术

A Double-Threshold Accumulation Detection Technology Based on Information Fusion

针对激光引信信号的实时检测问题,提出了一种基于信息融合的累积双门限检测技术。在传统N-P检测器的基础上,采用双门限对单次脉冲信号进行检测,当脉冲信号位于两门限之间时,由融合中心依据各脉冲信噪比的不同对信号进行加权累积,并与原有单一检测门限进行比较,最后综合两次判决结果做出最终决策。通过仿真试验表明,该技术能有效地改善系统检测性能,提高检测概率。

To solve the problem of photoelectric real time detection of the laser fuze signal, a double- threshold accumulation detection algorithm based on information fusion was proposed. On the basis of the traditional N-P detector, the double-threshold method was used to detect the pulse signal. When the pulse signal was located between the two thresholds, the fusion center carried out the weighting accumulation according to every signal based on SNR difference, and compared the results with the former threshold, in the end, the final decision was worked out based on two combined results of judgment. Simulation results showed that this technology can effectively improve the detection performance and increase detection probability of the system.