CAJ | 학술논문

为了提高低信噪比( SNR)下对雷达脉内相位编码( PSK)信号的处理能力，对传统的相位差分法进行了改进，并利用该方法对PSK信号进行了识别与码元序列的恢复。根据PSK信号的特性，结合滤波、数字变频和高阶差分来减小噪声对相位的影响，提高了相位差分法的抗噪性。对相位差分序列归一化后，先进行码元宽度的精确估计，再由码元关系去除伪跳变点。最后通过一系列的特征提取，实现了PSK信号的综合处理。仿真结果表明，所提算法在低信噪比下性能良好，具有很高的工程应用价值。
위료제고저신조비( SNR)하대뢰체맥내상위편마( PSK)신호적처리능력，대전통적상위차분법진행료개진，병이용해방법대PSK신호진행료식별여마원서렬적회복。근거PSK신호적특성，결합려파、수자변빈화고계차분래감소조성대상위적영향，제고료상위차분법적항조성。대상위차분서렬귀일화후，선진행마원관도적정학고계，재유마원관계거제위도변점。최후통과일계렬적특정제취，실현료PSK신호적종합처리。방진결과표명，소제산법재저신조비하성능량호，구유흔고적공정응용개치。
To enhance the processing ability of Phase Shift Keying( PSK) signals on radar pulses under low Signal-to-Noise Ratio ( SNR) , the traditional phase difference method is improved. The improved method is used for modulation recognition and symbol sequence recovery of PSK signals. According to characteris-tics of PSK signals, the filter, digital frequency conversion and high order difference are combined to re-duce the influence of noise on phase,which improves the ability of immunity to noise for phase difference method. After phase difference sequence is normalized, the accurate estimation of the symbol width is ob-tained firstly. Then, the relationship between symbols is used to remove false symbol jump. Through a se-ries of feature extraction, the comprehensive processing of PSK signals is realized finally. The results of simulation show that the proposed algorithm has a good performance under low SNR and also high value of engineering application.