CAJ | 학술논문

针对应答脉冲信号的同步干扰(即混扰)造成二次雷达询问机解码错误的问题，提出了基于多通道阵列处理的混扰信号分选算法。首先建立了询问机天线使用多通道阵列的混扰信号模型，在此基础之上给出了应答机个数及其到达角估计算法，并提出了基于最大似然估计的应答信号分选算法。仿真结果表明，该算法能够从混扰信号中同时准确分离多个应答信号，性能明显优于FastICA算法。当信噪比高于10 dB时，所提算法的分离指数比FastICA算法至少低10 dB。
침대응답맥충신호적동보간우(즉혼우)조성이차뢰체순문궤해마착오적문제，제출료기우다통도진렬처리적혼우신호분선산법。수선건립료순문궤천선사용다통도진렬적혼우신호모형，재차기출지상급출료응답궤개수급기도체각고계산법，병제출료기우최대사연고계적응답신호분선산법。방진결과표명，해산법능구종혼우신호중동시준학분리다개응답신호，성능명현우우FastICA산법。당신조비고우10 dB시，소제산법적분리지수비FastICA산법지소저10 dB。
To overcome the problem of decoding errors of secondary surveillance radar ( SSR ) due to the presence of garble,an algorithm for separating the garbled replies based on array processing is proposed. Firstly,a signal model for the garbled replies is established in which the transponder of SSR utilizes the u-niform linear array. Then methods for the detection of the number of transponders and the estimation of their direction of arrival( DOA) are presented. Afterwards,a recovery algorithm of the garbled replies from the transponder based on maximum likelihood estimation is proposed. Numerical simulations show that the proposed method can accurately and simultaneously separate multiple replies, and it significantly outper-forms the fast independent component analysis( FastICA) algorithm. The seperation performance of the pro-posed method is lower at least 10 dB than that of FastICA algorithm when SNR>10 dB.