CAJ | 학술논문

通过分析航管应答信号样式及特点，提出了基于经验模式分解（EMD）时频重构特征的航管应答器个体识别算法。首先通过EMD将多分量信号分解为有限个固有模式函数（IMF）分量，继而利用IMF来重构辐射源信号的时频分布，最终获得稳定的时频图分解特征。利用实测航管应答信号的验证实验表明，该方法可以有效提取航管应答信号的细微特征，最终的识别性能显著优于使用脉冲包络特征或者功率谱特征的识别算法。
통과분석항관응답신호양식급특점，제출료기우경험모식분해（EMD）시빈중구특정적항관응답기개체식별산법。수선통과EMD장다분량신호분해위유한개고유모식함수（IMF）분량，계이이용IMF래중구복사원신호적시빈분포，최종획득은정적시빈도분해특정。이용실측항관응답신호적험증실험표명，해방법가이유효제취항관응답신호적세미특정，최종적식별성능현저우우사용맥충포락특정혹자공솔보특정적식별산법。
By analyzing the signal pattern and characteristic of ATC transponder, an individual identi- fication algorithm for ATC transponder is proposed, based on the feature named EMD time-frequency redistribution. First, the multi-component signal is decomposed into some IMF components by EMD, and then these IMFs are used to reconstruct the time-frequency distribution of this signal, finally the stable time-frequency decomposition feature is obtained. An experiment used the real ATC signals is employed, and the result shows that, the ATC signal＇s fine-features could be extracted efficiently by the method proposed, and its identification accuracy is better than that of the algorithm using the pulse envelope feature or the power spectrum feature.