某型装备数字通信信号识别能力的改进

针对某机载电子对抗任务系统数字通信信号识别正确率较低，影响该系统工作效能的问题，对Azzouz决策论的信号调制识别算法进行改进，改变了识别步骤，并采用可变的门限值，从而大大提高了该系统对数字通信信号的识别概率。经Matlab仿真得出，改进算法在信噪比大于8dB时，对信号的识别概率提高至95％，远高于原算法在信噪比大于10dB时，90％的识别概率。该算法仅用了5个门限参数，识别了包括噪声在内的7种信号，识别步骤最多3步，具有计算量小，实现简便的特点。

Improvement of Identification Ability of Digital Communication Signals for Certain Equipment

The ability of identification of digital communication signals of airborne electronic countermeasures is very poor, and the poor identification badly affects the combatant efficiency, so the paper basing on the algorithm that was given by scholars Azzouz, introduces a new algorithm. The new algorithm changes the original processes, and uses changeable thresholds. By Matlab simulation, it indicates that the success rate is not lower than 95% when SNR （Signal-to-Noise Ratio） is over 8 dB. The new algorithm is better than the Azzouz＇s （the success rate is not lower than 90% when SNR is over 10 dB）. The new algorithm uses 5 thresholds and 3 processes, so the course becomes easy. It will improve the ability of identification of digital communication signals of airborne electronic countermeasures.