CAJ | 학술논문

为了避免多目标治理环境中由于存在强度差导致检测概率降低的情况，给出了3种基于峰均功率比的多目标检测方法。利用采样协方差矩阵的特征向量受噪声方差影响小的特性，计算其峰均功率比值，将峰均功率比值应用于信息论准则和盖尔圆半径，检测信号源个数。仿真结果表明，对于不等强双目标，PAPRT 、PGAIC和PGMDL方法的检测性能优于AIC和MDL方法。随着强度差的增大，给出方法的检测概率稳定在100％。
위료피면다목표치리배경중유우존재강도차도치검측개솔강저적정황，급출료3충기우봉균공솔비적다목표검측방법。이용채양협방차구진적특정향량수조성방차영향소적특성，계산기봉균공솔비치，장봉균공솔비치응용우신식론준칙화개이원반경，검측신호원개수。방진결과표명，대우불등강쌍목표，PAPRT 、PGAIC화PGMDL방법적검측성능우우AIC화MDL방법。수착강도차적증대，급출방법적검측개솔은정재100％。
Three methods based on peak‐to‐average power ratio are involved in the presence of the intensi‐ty difference among multiple targets to avoid the detection probability′s decrease .By exploiting the char‐acteristic of slight noise variance sensitivity to correlation matrix eigenvectors ,the peak to average power ratio is calculated .The peak‐to‐average power ratios modified by Gerschgorin radii and information crite‐rion are obtained to detect the number of signal source .Simulation results show that three methods which are PAPRT 、PGAIC and PGMDL can achieve better source number estimation performance under the presence of intensity difference between the dual‐targets than AIC and MDL algorithm .In particular , the detection probability of proposed approaches remains stable at 100 percent with the increase of the intensity difference .