激光制导混合信号分选及编码识别技术研究

Research of laser guided signal sorting and code recognition technique

激光半主动制导武器的制导信号大多采用脉冲时间间隔调制技术进行编码,但现有识别方法存在大量的重复计算和冗余数据,识别效率不高。为了解决这一问题,采用基于最小周期识别技术的方法,提出了一种信号分选及识别算法。该算法根据脉冲间隔调制编码存在最小周期的特性,利用上次计算的积累条件作为当前计算的初始条件,减少了重复计算量,从而准确识别信号的编码类型和骨架周期,缩短了编码识别的时间,为在嵌入式系统中实现实时准确的编码识别提供了可能。通过理论分析,介绍了算法的原理,并结合实验对信号分选及识别算法进行了验证。结果表明,使用该方法,识别效率高且用时较短,能够解决大部分的编码识别问题。

The pulse interval modulate technique is used in most of the laser semi-active guided weapons, but the known method of code recognition is inefficient because of its repeated calculation and redundant data. To solve this problem, a new code recognition algorithm was presented, in which the last accumulating condition was selected as the current condition so as to decrease repeating work. This algorithm can recognize the type and the bone cycle of coding accurately, and shorten the decoding time, making the real-time accurate recognition of code in embedded system possible. At the end of the paper, a trial which is made to prove the algorithm efficient, tells the algorithm is better than others in time consuming and it can recognize most of the encoding types.