基于ARM7的多批激光威胁信号分选及码型识别

Multi-laser threat signal sorting and pattern recognition based on ARM7

简要介绍了多批激光威胁信号分选及码型识别的原理,利用现场可编程逻辑门阵列FPGA对不同方向的不同时刻到来的3～8位多批脉冲间隔编码信号进行到达时间测量,并将时间数据通过32位总线送给32位嵌入式处理器ARM7进行信号分选和码型识别。给出了FPGA内部信号流程以及ARM7进行信号分选及码型识别的算法,并通过测试证明了该算法的有效性以及分选速度快、准确率高的特点。在实际应用中,利用此方法,提高了某型装备信号分选和码型识别的能力。

The principle of the multi-laser threat signal sorting and pattern recognition is briefly introduced.The arrival time of the 3 to 8 bits multiple pulse interval encoding signal arriving at the different moment and from the different orientations is measured by Field-Programmable Gate Array（FPGA）,and the time data is delivered to the 32 bits embedded processor ARM7 by the 32 bits bus for signal sorting and pattern recognition.The internal signal process of FPGA and the algorithm of signal sorting and pattern recognition of ARM7 are discussed in this paper,and the effectiveness of the algorithm and the characteristics of speedly sorting and high accuracy rate are all proved by testing.The ability of signal sorting and pattern recognition of a certain type equipment is raised by using this method in practical application.