电讯技术
電訊技術
전신기술
TELECOMMUNICATIONS ENGINEERING
2015年
1期
13-18
,共6页
通信信号%短波信道%调制识别%码间串扰%循环统计量%广度优先搜索邻居聚类
通信信號%短波信道%調製識彆%碼間串擾%循環統計量%廣度優先搜索鄰居聚類
통신신호%단파신도%조제식별%마간천우%순배통계량%엄도우선수색린거취류
communication signal%HF channel%modulation classification%intersymbol interference%cyclic statistic%broad first search neighbors( BFSN) clustering
针对短波通信中无法避免的码间串扰问题，研究了聚类算法在信号调制识别中的作用，提出了一种利用广度优先搜索邻居( BFSN)聚类处理循环统计量特征的分类算法。该算法将循环统计量特征峰值作为聚类输入对象，通过BFSN聚类分析，剔除延时信号、噪声等造成的奇异类峰值，克服了多径效应产生的码间串扰影响，实现了2 FSK、4 FSK、BPSK、QPSK、16 QAM、仔/4-QPSK、仔/4-DQPSK、8 PSK等8种调制信号的自动识别。仿真表明，该算法聚类后提取的特征参数抗多径干扰能力强，同信道均衡方法相比识别正确率有5%的性能优势。低信噪比环境下的信号调制识别具有重要的工程应用意义。
針對短波通信中無法避免的碼間串擾問題，研究瞭聚類算法在信號調製識彆中的作用，提齣瞭一種利用廣度優先搜索鄰居( BFSN)聚類處理循環統計量特徵的分類算法。該算法將循環統計量特徵峰值作為聚類輸入對象，通過BFSN聚類分析，剔除延時信號、譟聲等造成的奇異類峰值，剋服瞭多徑效應產生的碼間串擾影響，實現瞭2 FSK、4 FSK、BPSK、QPSK、16 QAM、仔/4-QPSK、仔/4-DQPSK、8 PSK等8種調製信號的自動識彆。倣真錶明，該算法聚類後提取的特徵參數抗多徑榦擾能力彊，同信道均衡方法相比識彆正確率有5%的性能優勢。低信譟比環境下的信號調製識彆具有重要的工程應用意義。
침대단파통신중무법피면적마간천우문제，연구료취류산법재신호조제식별중적작용，제출료일충이용엄도우선수색린거( BFSN)취류처리순배통계량특정적분류산법。해산법장순배통계량특정봉치작위취류수입대상，통과BFSN취류분석，척제연시신호、조성등조성적기이류봉치，극복료다경효응산생적마간천우영향，실현료2 FSK、4 FSK、BPSK、QPSK、16 QAM、자/4-QPSK、자/4-DQPSK、8 PSK등8충조제신호적자동식별。방진표명，해산법취류후제취적특정삼수항다경간우능력강，동신도균형방법상비식별정학솔유5%적성능우세。저신조비배경하적신호조제식별구유중요적공정응용의의。
A new modulation classification algorithm based on broad first search neighbors( BFSN) cluste-ring is proposed to process cyclic statistic characteristics, so as to overcome the intersymbol interference ( ISI) in high frequence( HF) communications. Firstly,the BFSN method is used to cluster and analyze dif-ferent cyclic statistic characteristics,the effects of ISI are reduced by eliminating the singular peaks caused by delay signals and noise;then the signals such as 2FSK,4FSK,BPSK,QPSK,π/4-QPSK,π/4-DQPSK, 8PSK and 16QAM are automatically classified by joint feature estimation. Compared with channel equilibri-um algorithms,the proposed algorithm gains an improvement of 5% in classification accuracy. The results of simulation show that the proposed algotithm has a good performance in mitigating multipath interference and also high value of engineering application in low signal-to-noise ratio( SNR) condition.
