成都信息工程学院学报
成都信息工程學院學報
성도신식공정학원학보
JOURNAL OF CHENGDU INSTITUTE OF METEOROLOGY
2015年
2期
113-119
,共7页
宽带相干信号%来波方向估计%多项式展开%聚焦矩阵%频域相关矩阵
寬帶相榦信號%來波方嚮估計%多項式展開%聚焦矩陣%頻域相關矩陣
관대상간신호%래파방향고계%다항식전개%취초구진%빈역상관구진
wideband coherent signal%direction of arrival estimation%polynomial expansion%focused matrix%frequency-domain correlation matrix
针对经典相干宽带信号来波方向估计算法需要进行角度预估计、复杂度高等特点,提出一种均匀圆阵下宽带相干信号的二维来波方向(2D-DOA)估计新方法.先使用多项式展开的方法实现阵列流形矢量的频率与角度的分离,选取较简易的与频率有关的采样矩阵构造聚焦矩阵,然后利用聚焦操作求取宽带相干信号的频域相关矩阵进行2D-DOA估计.方法不需要进行角度预估计,减小了计算量.仿真分析表明,使用新的聚焦矩阵可以降低宽带相干信号2D-DOA估计的均方根误差,提高成功分辨概率.且该方法可推广至任意的阵列结构,并明显改善2D-DOA估计效果.
針對經典相榦寬帶信號來波方嚮估計算法需要進行角度預估計、複雜度高等特點,提齣一種均勻圓陣下寬帶相榦信號的二維來波方嚮(2D-DOA)估計新方法.先使用多項式展開的方法實現陣列流形矢量的頻率與角度的分離,選取較簡易的與頻率有關的採樣矩陣構造聚焦矩陣,然後利用聚焦操作求取寬帶相榦信號的頻域相關矩陣進行2D-DOA估計.方法不需要進行角度預估計,減小瞭計算量.倣真分析錶明,使用新的聚焦矩陣可以降低寬帶相榦信號2D-DOA估計的均方根誤差,提高成功分辨概率.且該方法可推廣至任意的陣列結構,併明顯改善2D-DOA估計效果.
침대경전상간관대신호래파방향고계산법수요진행각도예고계、복잡도고등특점,제출일충균균원진하관대상간신호적이유래파방향(2D-DOA)고계신방법.선사용다항식전개적방법실현진렬류형시량적빈솔여각도적분리,선취교간역적여빈솔유관적채양구진구조취초구진,연후이용취초조작구취관대상간신호적빈역상관구진진행2D-DOA고계.방법불수요진행각도예고계,감소료계산량.방진분석표명,사용신적취초구진가이강저관대상간신호2D-DOA고계적균방근오차,제고성공분변개솔.차해방법가추엄지임의적진렬결구,병명현개선2D-DOA고계효과.
In view of the characteristics of classical wideband signal DOA estimation algorithms of great complexity and needing angle pre-estimation,a new method is presented for the 2D-DOA (Two-dimensional DOA) estimation of wideband coherent signals received by uniform circular array.The frequency parameter and angle parameter in array steering vector can be separated by polynomial expansion,and a simpler sampling matrix related to frequency parameter is selected to generate focused matrices.Then the wideband signals frequency-domain correlation matrix can be obtained by focusing operation and the 2D-DOA information of wideband signals can be estimated.The proposed method doesn't require angle pre-estimation,and makes computational.? complexity reduced.Simulation analysis shows that the using of new focused matrix can reduce the root mean square error of 2D-DOA estimation of wideband coherent signals and improve the probability of successful separation.And this method can also be expanded to array with arbitrary forms and cause obvious improvement in performance of 2D-DOA estimation.