电讯技术
電訊技術
전신기술
Telecommunication Engineering
2015年
9期
1000-1004
,共5页
直接序列扩频信号%特征值分解%子空间理论%相关矩阵
直接序列擴頻信號%特徵值分解%子空間理論%相關矩陣
직접서렬확빈신호%특정치분해%자공간이론%상관구진
DSSS signal%eigen value decomposition%subspace theory%correlation matrix
提出了一种适用于低信噪比情况下提取扩频信号特征参数的算法。该算法通过对被测信号的多次采样、分段累乘，扩大了待分解信号的样本数，降低了噪声的影响，从而能够获得比传统子空间分解算法更好的性能。通过分段累乘构造的自相关矩阵，对其进行特征值分解后，表现出对噪声不敏感的特性，在一定程度上克服了常规方法的噪声敏感缺点。对算法的仿真计算表明，该方法应用在低信噪比的通信环境下，信号特征值不会被噪声湮没，解决了传统子空间方法在低信噪比条件下的分辨率不足的问题。该算法的提出对低信噪比条件下的扩频信号处理和参数检测有重要的工程和实际意义。
提齣瞭一種適用于低信譟比情況下提取擴頻信號特徵參數的算法。該算法通過對被測信號的多次採樣、分段纍乘，擴大瞭待分解信號的樣本數，降低瞭譟聲的影響，從而能夠穫得比傳統子空間分解算法更好的性能。通過分段纍乘構造的自相關矩陣，對其進行特徵值分解後，錶現齣對譟聲不敏感的特性，在一定程度上剋服瞭常規方法的譟聲敏感缺點。對算法的倣真計算錶明，該方法應用在低信譟比的通信環境下，信號特徵值不會被譟聲湮沒，解決瞭傳統子空間方法在低信譟比條件下的分辨率不足的問題。該算法的提齣對低信譟比條件下的擴頻信號處理和參數檢測有重要的工程和實際意義。
제출료일충괄용우저신조비정황하제취확빈신호특정삼수적산법。해산법통과대피측신호적다차채양、분단루승，확대료대분해신호적양본수，강저료조성적영향，종이능구획득비전통자공간분해산법경호적성능。통과분단루승구조적자상관구진，대기진행특정치분해후，표현출대조성불민감적특성，재일정정도상극복료상규방법적조성민감결점。대산법적방진계산표명，해방법응용재저신조비적통신배경하，신호특정치불회피조성인몰，해결료전통자공간방법재저신조비조건하적분변솔불족적문제。해산법적제출대저신조비조건하적확빈신호처리화삼수검측유중요적공정화실제의의。
An algorithm for extracting characteristic parameters of spread spectrum signal is proposed,which is suitable for low signal-to-noise ratio( SNR) condition. The algorithm expands the number of samples of the signal to be decomposed and reduces the effect of noise,so as to obtain better performance than the tra-ditional subspace decomposition algorithm. By the auto correlation matrix of the block structure, the char-acteristics of the noise are not sensitive to the characteristic values,and the noise sensitivity of the conven-tional method is overcome to some extent. The simulation results show that when the method is applied to the communication environment of low SNR,the signal characteristic value is not lost. The resolution of the traditional subspace method in low SNR condition is solved. The proposed algorithm has important engineer-ing and practical significance for the signal processing and parameter detection in low SNR condition.
